Every method as text

The same 62 methods as the Navigator above, each with what to measure before and after, 131 published results with their source type, and the training programmes in India. Open a method to read it.

5-Why root cause analysis

Six Sigma/quality

Also known as: 5 Whys; Why-Why analysis; 3x5 Why
Family: Six Sigma/quality
What it fixes: Ask 'why?' again and again (about five times) until you reach the real cause of a problem, not the symptom
Symptoms on the floor: The same problem comes back every month; Too much rejection and rework; Machines break down again and again; Customers complain or send material back
Measure before and after: Recurrence count of the same problem per month; rejection % for the defect studied; downtime minutes for the stoppage studied
How to get the baseline: Rejection/breakdown register for the last 1-3 months: count how often the same problem was logged and its rejection % or downtime minutes
Who leads it: supervisor
Plant size (employees): 50-200, 200-1000, 1000+
Industries: Auto and auto components, Machining and engineering, Forging, casting and sheet metal
Works well with: Ishikawa (fishbone) cause-and-effect diagram, Pareto analysis (80/20), 8D problem solving, A3 problem solving, Quality circles, Kaizen (continuous improvement)
Common pitfall: Teams stop at 'operator error' or follow one chain only, so the systemic cause (procedure, management decision) is never fixed
Last verified: 17 Oct 2026

Published results for 5-Why root cause analysis
Metric	Result	Context	Country	Source type	Citation
average mold changeover time	mold changeover time decreased from 8.77 minutes to 3.51 minutes (-60.22%); OEE 55.85% -> 65.65%	automotive parts stamping, 800-ton press; Why-Why analysis combined with SMED, visual control	TH	Peer-reviewed study	Meemak J., Choomlucksana J. (2024). Reducing Downtime Loss in the Automotive Parts Stamping Process Using Why-Why Analysis: A Case Study. Engineering and Technology Horizons 41(3)
overall equipment effectiveness	OEE from 55.85% to 65.65% (+9.8 percentage points)	automotive parts stamping, 800-ton press; Why-Why with SMED and visual control	TH	Peer-reviewed study	Meemak J., Choomlucksana J. (2024). Reducing Downtime Loss in the Automotive Parts Stamping Process Using Why-Why Analysis: A Case Study. Engineering and Technology Horizons 41(3)
rejection level, cylinder block castings (sand drop)	rejection level from 37.17% to 16.3%	foundry, cylinder block casting; why-why analysis with check sheet and cause-effect diagram		Case study	Nerle V., Shinde S. (2013). Analysis of the Sand Drop Defect to Reduce the Rejection Level of Cylinder Block Casting: A Case Study. International Journal of Engineering Research & Technology 2(9)

Training in India for 5-Why root cause analysis
Provider	Programme	Format	Duration	Fee	Subsidy	Cities	For
National Productivity Council (NPC) - e-LEAP	Problem Analysis and Decision Making	online	self-paced	Rs.250		online	shop manager, supervisor
IMTMA Training (Indian Machine Tool Manufacturers' Association)	8D Problem Solving Methodology and 7QC Tools	classroom	2 days			Gurugram	supervisor, quality head
IMTMA Training (Indian Machine Tool Manufacturers' Association)	Machine Breakdown Analysis	classroom	2 days			Pune	supervisor, maintenance head
IMTMA Training (Indian Machine Tool Manufacturers' Association)	Problem-Solving Tools for Securing our Present & Future	classroom	1 day	Rs. 2999/- +18% GST	Group concession 10% for 3-5, 20% for 6+ delegates (as printed on IMTMA pages)	Chhatrapati Sambhajinagar	shop manager, supervisor
IMTMA Training (Indian Machine Tool Manufacturers' Association)	Effective Maintenance Towards Zero Down Time (ZDT) - Electrical Aspects of CNC Machines	classroom	3 days	Rs. 6999/- +18% GST	Group concession 10% for 3-5, 20% for 6+ delegates (as printed on IMTMA pages)	Bengaluru	maintenance head
IMTMA Training (Indian Machine Tool Manufacturers' Association)	Certified Specialist in Root Cause Analysis	classroom	2 days			Pune	supervisor, quality head, maintenance head
IIM Mumbai (formerly NITIE) - Open MDP	Manufacturing & Operational Excellence	online	3 days / 18 hours		Bulk discount for 5+ participants from same organisation	online	plant head, shop manager, quality head, maintenance head

5S (workplace organisation)

Lean/TPS

Also known as: Sort, Set in order, Shine, Standardise, Sustain; Swachh workplace
Family: Lean/TPS
What it fixes: Put every tool, die and gauge in a fixed, labelled place so nobody hunts for anything and problems are visible
Symptoms on the floor: People waste time looking for tools, dies, gauges; The floor is cluttered, no space to grow; Workers wait for material, cranes or instructions
Measure before and after: Minutes spent searching for tools/dies/gauges per shift; weekly 5S audit score; floor space freed (sq ft)
How to get the baseline: Shadow 3-5 operators for a shift and log search time; score each area with a 5S audit checklist in week 1
Typical duration: 20 to 24 weeks
Who leads it: supervisor
Plant size (employees): 50-200, 200-1000, 1000+
Industries: any plant
Works well with: Kaizen (continuous improvement), TPM (Total Productive Maintenance), Visual management
Common pitfall: Turns into a one-time cleaning drive unless audits continue weekly
Government support in India: ZED parameter Swachh Workplace; 5S is in MSME Lean scheme curriculum
Last verified: 17 Oct 2026

Published results for 5S (workplace organisation)
Metric	Result	Context	Country	Source type	Citation
tool search time; 5S audit score	30 -> 5 min; audit score 7 -> 55 (week 1 -> week 20)	small-scale scientific instruments manufacturer	IN	Peer-reviewed study	Gupta S., Jain S.K. (2015). An application of 5S concept to organize the workplace at a scientific instruments manufacturing company. Int. J. Lean Six Sigma 6(1):73
5S audit score	6 -> 72 (week 1 -> week 24)	scientific equipment company	IN	Peer-reviewed study	Gupta S., Chandna P. (2020). Grey Systems: Theory and Application

Training in India for 5S (workplace organisation)
Provider	Programme	Format	Duration	Fee	Subsidy	Cities	For
National Productivity Council (NPC) - e-LEAP	5S	online	self-paced	Rs.250		online	shop manager, supervisor, operator
National Productivity Council (NPC) - e-LEAP	Rapid Lean Learning Course	online	self-paced	Rs.7080		online	plant head, shop manager
National Productivity Council (NPC)	Operational Excellence in Manufacturing: Lean, TPM & Industry 4.0	classroom	5 days			Puri	plant head, shop manager, maintenance head
Ministry of MSME - MSME Competitive (LEAN) Scheme (implementing agencies QCI, NPC)	MSME Competitive LEAN Scheme: Basic / Intermediate / Advanced levels	handholding/consulting	Basic ~2 months (self-paced LMS + pledge); Intermediate/Advanced with lean consultant	Basic free	Govt bears 90% of lean-consultant fee for Intermediate/Advanced (per scheme guidelines)	pan-India (online LMS + in-plant)	owner/MD, plant head, shop manager, supervisor
Ministry of MSME - MSME Sustainable (ZED) Certification Scheme (implemented by QCI)	ZED Certification (Bronze/Silver/Gold) + Gap Analysis & Handholding	certification	Bronze online self-certification; Silver/Gold with site assessment	Registration free	Subsidy on certification cost per scheme guidelines; handholding (consultancy) support up to Rs.2 lakh; free ZED certification for women-owned MSMEs	pan-India	owner/MD, plant head, quality head
CII Naoroji Godrej Centre of Manufacturing Excellence (CII CME), Mumbai	In-house programmes for companies (curated knowledge modules / coaching): lean, 5S, Kaizen & 3M, cost reduction, safety	in-plant	tailored			Mumbai (delivered pan-India)	plant head, shop manager, supervisor
Quality Circle Forum of India (QCFI)	40th National Convention on Quality Concepts (NCQC 2026) - case-study competitions on QC, Kaizen, 5S, Lean, SMED, Poka-yoke	classroom	4 days			Bhubaneswar	shop manager, supervisor, operator
Quality Circle Forum of India (QCFI) - chapters	Chapter Conventions on Quality Concepts (CCQC 2026) - Tirupati, Nagpur, Pune (virtual)	classroom	1-2 days			Tirupati; Nagpur; Pune (virtual)	supervisor, operator
Quality Circle Forum of India (QCFI)	5S training, implementation & certification (in-plant)	in-plant	engagement-based			at client plant	shop manager, supervisor, operator
IMTMA Training (Indian Machine Tool Manufacturers' Association)	World Class Manufacturing - What, Why and How; Tools and Techniques	classroom	2 days			Bengaluru	owner/MD, plant head
ACMA Centre for Technology (ACT) - ACMA Cluster Programme	ACMA Cluster Programme (Foundation QCD cluster, Lean, TPM, Zero-Defect, MFCA, Low-Cost Automation, Energy Efficiency, Safety, Digital)	handholding/consulting	multi-month cluster (duration not printed in source)			auto-component hubs (Pune, NCR, Chennai etc.)	owner/MD, plant head, shop manager

8D problem solving

Six Sigma/quality

Also known as: Eight Disciplines; 8D report; G8D
Family: Six Sigma/quality
What it fixes: A team-based 8-step routine for a serious or customer problem: contain it, find the root cause, fix it permanently, prevent repeat
Symptoms on the floor: Customers complain or send material back; Too much rejection and rework; The same problem comes back every month
Measure before and after: Rejection % / ppm for the problem part; number of repeat customer complaints on the same issue
How to get the baseline: Rejection % from the inspection register for the last 3-6 months for the problem part; customer complaint log
Who leads it: quality head
Plant size (employees): 200-1000, 1000+
Industries: Auto and auto components, Machining and engineering, Forging, casting and sheet metal, Assembly lines
Do first: Pareto analysis (80/20), Ishikawa (fishbone) cause-and-effect diagram, 5-Why root cause analysis
Works well with: Six Sigma (DMAIC), A3 problem solving, Poka-yoke (mistake-proofing), Process FMEA (PFMEA), ISO 9001 quality management system
Common pitfall: The 8D report is filled in for the customer after the fact, with containment called 'root cause' and no check that the fix holds
Last verified: 17 Oct 2026

Published results for 8D problem solving
Metric	Result	Context	Country	Source type	Citation
valve spring rejection	rejection from 17.07% (6-month average) to 4.91% (July 2014); target 5%	springs and stampings manufacturer; 8D with Pareto, cause-and-effect, 5-Why		Peer-reviewed study	Kumar T.S., Adaveesh B. (2017). Application of 8D Methodology for the Root Cause Analysis and Reduction of Valve Spring Rejection in a Valve Spring Manufacturing Company: A Case Study. Indian Journal of Science and Technology 10(11):1-11
reject rate, mixer shower assembly line (leak rejects)	reject rate from 11.84% to 0.11%	mixer shower sub-assembly with O-seals; 8D combined with Six Sigma tools		Peer-reviewed study	Sharma M., Sharma S., Sahni S. (2020). Structured problem solving: combined approach using 8D and Six Sigma case study. Engineering Management in Production and Services 12(1):57-69

Training in India for 8D problem solving
Provider	Programme	Format	Duration	Fee	Subsidy	Cities	For
IMTMA Training (Indian Machine Tool Manufacturers' Association)	8D Problem Solving Methodology and 7QC Tools	classroom	2 days			Gurugram	supervisor, quality head
IMTMA Training (Indian Machine Tool Manufacturers' Association)	Certified Specialist in Root Cause Analysis	classroom	2 days			Pune	supervisor, quality head, maintenance head

A3 problem solving

Lean/TPS

Also known as: A3 report; A3 thinking; Toyota A3; PDCA on one sheet
Family: Lean/TPS
What it fixes: One page per problem: facts, root cause, actions, owner, follow-up check - so problems get closed, not just discussed
Symptoms on the floor: The same problem comes back every month; Too much rejection and rework; Customers complain or send material back; Improvement drives start well and fade out; Machines break down again and again
Measure before and after: The KPI of the chosen problem (rejection %, ppm, scrap pieces/month, breakdowns/month, setup minutes); plus share of A3s closed with target met and on time
How to get the baseline: Pull 4-8 weeks of the problem metric from the rejection/breakdown register or a check sheet at the machine; write it as the 'current condition' graph on the A3 before any action
Who leads it: plant head
Plant size (employees): 50-200, 200-1000, 1000+
Industries: any plant
Do first: Gemba walk
Works well with: 5-Why root cause analysis, Ishikawa (fishbone) cause-and-effect diagram, Pareto analysis (80/20), 8D problem solving, Kaizen (continuous improvement), Daily management (tiered daily meetings), Hoshin kanri (policy deployment)
Common pitfall: Filled-in forms without a verified root cause: in one study 1 of 6 A3s missed the root cause and the problem stayed unsolved even though all actions were done
Last verified: 17 Oct 2026

Published results for A3 problem solving
Metric	Result	Context	Country	Source type	Citation
machine setup (preparation) time	reduction of 70.4% of setup time; third shift avoided	motorcycle production company, action research single case	BR	Peer-reviewed study	Santos Filho G.M., Simão L.E. (2022). A3 methodology: going beyond process improvement. Revista de Gestão 30(2):147-161
share of A3 reports fully successful (target met, actions on time)	6 A3 reports in 3 plants over 1.5 years: 50% successful, 33% moderate, 17% low-performing	three production companies (incl. shock absorber assembly)	PL	Peer-reviewed study	Grobelna A., Wasilewska B. (2023). Evaluation of A3 tool in the production process. Scientific Papers of Silesian University of Technology, Organization and Management Series 176

Training in India for A3 problem solving
Provider	Programme	Format	Duration	Fee	Subsidy	Cities	For
National Productivity Council (NPC) - e-LEAP	New 7 QC Tools	online	self-paced	Rs.250		online	shop manager, quality head
National Productivity Council (NPC) - e-LEAP	Problem Analysis and Decision Making	online	self-paced	Rs.250		online	shop manager, supervisor
IMTMA Training (Indian Machine Tool Manufacturers' Association)	Problem-Solving Tools for Securing our Present & Future	classroom	1 day	Rs. 2999/- +18% GST	Group concession 10% for 3-5, 20% for 6+ delegates (as printed on IMTMA pages)	Chhatrapati Sambhajinagar	shop manager, supervisor

ABC/XYZ inventory classification

Planning

Also known as: ABC analysis; XYZ analysis; ABC-XYZ matrix; Pareto inventory classification; FSN
Family: Planning
What it fixes: Sort every stocked item by value (ABC) and by how steady its usage is (XYZ), then set stock rules per class instead of one rule for all
Symptoms on the floor: Raw material runs out - or too much is lying around; Workers wait for material, cranes or instructions; The floor is cluttered, no space to grow
Measure before and after: Inventory value and days of stock; number of stock-outs per month (by class); obsolete/dead stock value; item count held
How to get the baseline: Export 12 months of issues per item from the stores register/ERP; compute annual consumption value and month-to-month variation; count stock-out events logged by stores or production in the last 3 months
Who leads it: plant head
Plant size (employees): 50-200, 200-1000, 1000+
Industries: any plant
Works well with: Kanban (pull system), Demand-Driven MRP (DDMRP), Vendor-managed inventory (VMI), Sales and Operations Planning (S&OP), In-plant milk-run with supermarket, Pareto analysis (80/20)
Common pitfall: Classification alone changes nothing: without new reorder rules per class and a periodic re-run, stock levels drift back
Last verified: 17 Oct 2026

Published results for ABC/XYZ inventory classification
Metric	Result	Context	Country	Source type	Citation
Average monthly stock-out frequency	decreased by 88.5% (P < 0.001), 6-month pilot	public tertiary cancer hospital pharmacy, 286 medications, ABC-XYZ (non-manufacturing)	IN	Peer-reviewed study	Singh S., Sharma H., Aggarwal V. (2026). Optimizing drug availability and reducing wastage through ABC-XYZ inventory management: Insights from a public tertiary cancer hospital in Northern India. Indian Journal of Pharmacology 58(4):387-390
Monthly wastage cost	reduced by 76.5% (not statistically significant)	public tertiary cancer hospital pharmacy, ABC-XYZ (non-manufacturing)	IN	Peer-reviewed study	Singh S., Sharma H., Aggarwal V. (2026). Optimizing drug availability and reducing wastage through ABC-XYZ inventory management: Insights from a public tertiary cancer hospital in Northern India. Indian Journal of Pharmacology 58(4):387-390
Inventory cost / number of parts held	parts held -42%, inventory cost -44%	foundry warehouse, ABC analysis	TH	Case study	Prasert T., Panprasitvech B., Hongsuwan P., Sangkharat P., Dara H. (2023). Using ABC Analysis for Warehouse Management: A Case Study of Seree Karnchang Buddhanimit Foundry. Journal of Manufacturing & Management Technology 2(1)

Training in India for ABC/XYZ inventory classification
Provider	Programme	Format	Duration	Fee	Cities	For
National Productivity Council (NPC) - e-LEAP	Materials Requirement Planning	online	self-paced	Rs.250	online	plant head, shop manager
IMTMA Training (Indian Machine Tool Manufacturers' Association)	Materials Management and Inventory Control	classroom	2 days		Bengaluru	plant head, shop manager
Indian Institution of Industrial Engineering (IIIE), Navi Mumbai	Graduateship in Industrial Engineering (IE Grad) - membership-based distance examination	certification	multi-year, exam sessions (Aug 2026 session running)		distance / exam centres	shop manager, supervisor
IIM Mumbai - Open MDP	Warehouse Design & Automation	classroom	3 days		Mumbai	plant head

Assembly line balancing

Lean/TPS

Also known as: line balancing; workload balancing; operator balance chart; yamazumi; ranked positional weight
Family: Lean/TPS
What it fixes: Split work between stations so each takes about the same time, so no station waits and no single one holds up the line
Symptoms on the floor: One machine or section always holds everyone up; Half-finished parts pile up between machines; Too many people for the output we get; Overtime keeps rising, output does not; Workers wait for material, cranes or instructions
Measure before and after: Line efficiency %, balance delay %, output per shift, output per operator, number of stations/operators, idle time per station
How to get the baseline: Stopwatch each task at every station (10+ cycles), stack times per station in a bar chart (yamazumi) against required takt; count output per shift from the production register
Who leads it: shop manager
Plant size (employees): 50-200, 200-1000, 1000+
Industries: Auto and auto components, Forging, casting and sheet metal, Electrical and electronics, Assembly lines, Textiles and garments
Do first: Time and motion study, Takt time planning
Works well with: Takt time planning, Standardised work, Theory of Constraints (drum-buffer-rope), Cellular manufacturing (one-piece flow cells), Skill matrix and cross-training, Work sampling
Common pitfall: Simple heuristics (e.g. ranked positional weight) ignore machine-type constraints, so on mixed-machine lines the 'balanced' plan often cannot be run as drawn
Last verified: 17 Oct 2026

Published results for Assembly line balancing
Metric	Result	Context	Country	Source type	Citation
Line efficiency	efficiency of the line has increased approx 10% and hence balance delay got reduced	Indian SME with foundry shop; takt computation, line balancing, VSM, layout, kanban, andon	IN	Case study	Das A.K., Das M.C. (2023). Productivity improvement using different lean approaches in small and medium enterprises (SMEs). Management Science Letters 13(1):51-64
Fuel tank assembly line output	productivity enhanced from 140 to 158 units per shift within 14 months	Indian automobile manufacturer, fuel tank assembly line; TPM programme with line-stoppage reduction, line balancing and operations standardisation combined	IN	Peer-reviewed study	Gupta P., Mittal S., Hooda S., Gupta A. (2022). Assembly line productivity improvement through TPM by controlling line organisation efficiency and out of balance index: an empirical exploration. International Journal of Indian Culture and Business Management 26(1):1

Training in India for Assembly line balancing
Provider	Programme	Format	Duration	Fee	Cities	For
National Productivity Council (NPC) - e-LEAP	NRLL Series M4 - Productivity Improvement through Line Balancing	online	self-paced	Rs.1500	online	shop manager, supervisor
National Productivity Council (NPC) - e-LEAP	Industrial Engineering Tools for Productivity Improvement	online	self-paced	Rs.2000	online	shop manager, supervisor
Indian Institution of Industrial Engineering (IIIE), Navi Mumbai	Graduateship in Industrial Engineering (IE Grad) - membership-based distance examination	certification	multi-year, exam sessions (Aug 2026 session running)		distance / exam centres	shop manager, supervisor

Automated visual inspection (machine vision / AI camera)

Digital

Also known as: AVI; machine vision inspection; AI visual inspection; deep-learning defect detection
Family: Digital
What it fixes: Cameras plus software check every part for visible defects at line speed instead of a tired inspector checking samples
Symptoms on the floor: Too much rejection and rework; Customers complain or send material back; Quality depends on one experienced operator; Too many people for the output we get
Measure before and after: Defect escape rate to customer (ppm), false rejects of good parts %, inspection seconds per part, inspectors per shift
How to get the baseline: Seeded test: mix known good and known bad parts, have current inspectors check them blind, count misses and false rejects; time inspection per part with a stopwatch
Who leads it: quality head
Plant size (employees): 200-1000, 1000+
Industries: Auto and auto components, Machining and engineering, Forging, casting and sheet metal, Electrical and electronics, Packaging and printing
Do first: Cost of Poor Quality (COPQ) measurement, Measurement System Analysis (Gauge R&R)
Works well with: Poka-yoke (mistake-proofing), Jidoka and andon (stop-the-line signalling), Statistical Process Control (SPC), IoT machine monitoring, Cost of Poor Quality (COPQ) measurement
Common pitfall: Buying a system before collecting enough images of real defects and fixing lighting/part positioning, so it either misses defects or rejects good parts and operators bypass it
Last verified: 17 Oct 2026

Published results for Automated visual inspection (machine vision / AI camera)
Metric	Result	Context	Country	Source type	Citation
human inspector hit rate	manual inspectors caught 85% of defective parts and wrongly rejected 35% of good parts; industry average hit rate 80%	82 inspectors, 140 precision parts, 8 defect types	US	Peer-reviewed study (baseline, not a result)	See J.E. (2015). Visual Inspection Reliability for Precision Manufactured Parts. Human Factors 57(8):1427-1442
classification accuracy, response time	deployed CNN defect finder: accuracy over 99%, about 0.14 s per part (requirement 95% within 0.2 s)	weld nut inspection, automotive bolts and nuts maker Frontec	KR	Peer-reviewed study	Lee K.J., Kwon J.W., Min S., Yoon J. (2020). Embedding Convolution Neural Network-Based Defect Finder for Deployed Vision Inspector in Manufacturing Company Frontec. AAAI Conference on Artificial Intelligence 34(08):13164-13171
inspection time per part	manual inspection up to seven minutes per part on two workstations -> vision system about 300 ms, monitored by a single operator	MAP sensor inspection, Bosch India; integrator Qualitas Technologies	IN	Vendor-reported	Camillo J. (2015). Machine Vision Improves Inspection of Automotive Sensors. Assembly Magazine, 4 May 2015

Training in India for Automated visual inspection (machine vision / AI camera)
Provider	Programme	Format	Duration	Fee	Subsidy	Cities	For
National Productivity Council (NPC) - e-LEAP	Inspection for Quality Control	online	self-paced	Rs.250		online	supervisor, quality head, operator
Central Tool Room & Training Centre (CTTC) Bhubaneswar - MSME Technology Centre	Jr. Technician - Inspection & Quality Control (NSQF)	classroom	6 months / 600 hrs	₹ 22,000/-	No fee for SC/ST (NSQF courses)	Bhubaneswar	supervisor, operator
National Institute for MSME (NI-MSME)	Smart Factory Design & AI Integration: Building Future-Ready MSME Manufacturing Enterprises (SED/SM/5)	classroom	3 days			Hyderabad	owner/MD, plant head

Autonomous maintenance

TPM

Also known as: jishu hozen; JH; CILT (clean-inspect-lubricate-tighten); operator care; AM pillar
Family: TPM
What it fixes: Operators clean, inspect, lubricate and tighten their own machine every day with a simple checklist, catching faults before breakdowns
Symptoms on the floor: Machines break down again and again; Machines run slower than they should; I don't know how much my machines actually run; The floor is cluttered, no space to grow; Too much rejection and rework
Measure before and after: OEE and its parts (availability, performance, quality); unplanned stop hours per month; number of minor stops; abnormality tags raised/closed
How to get the baseline: Machine log or shift register of stops (start/end time, reason) for 2-4 weeks, plus count of output vs planned to compute OEE by hand
Who leads it: maintenance head
Plant size (employees): 50-200, 200-1000, 1000+
Industries: Auto and auto components, Machining and engineering, Food and FMCG, Pharma and medical devices, Process industries, Packaging and printing
Do first: 5S (workplace organisation)
Works well with: TPM (Total Productive Maintenance), Preventive (planned) maintenance, OEE measurement (loss tracking), Visual management, Skill matrix and cross-training, CMMS / digital maintenance log
Common pitfall: Handing operators checklists without maintenance support to fix the tagged faults kills it within weeks
Last verified: 17 Oct 2026

Published results for Autonomous maintenance
Metric	Result	Context	Country	Source type	Citation
OEE of packaging line	OEE 39.37% -> 52.31% (+12.95 points); availability 66.21->69.33, performance 61.30->77.44, quality 97.00->97.44	pharmaceutical packaging line, Jamshoro, Sindh; CILT (clean-inspect-lubricate-tighten)	PK	Peer-reviewed study	Khan S., Ahmed S., Ali M., Khan R. (2023). Impact of Cleaning Inspecting Lubrication & Tightening (CILT) on Overall Equipment Effectiveness for Sustainable Production. Journal of Sustainable Environment 2(1):29-37
OEE of one machine (Alfing)	OEE April 37.65%, May 71.17%, June 77.38%, July 77.62% after JH steps 1-3	manufacturing company, Maharashtra; single machine 'Alfing'; Jishu Hozen up to step 3 over 4 months	IN	Case study	Gaikwad H.V. (2018). Total Productive Maintenance in a Manufacturing Industry: A Case Study of JISHU HOZEN Implementation. Indian Journal of Science and Technology 11(37):1-13
total uptime	6% improvement in total uptime; scheduled maintenance need lowered by 2.61 h/week	pharmaceutical packaging line; operator-training-led AM	PK	Peer-reviewed study	Memon A.M. (2022). Analysing the Impact of Autonomous Maintenance on the Packaging Line of a Pharmaceutical Industry. Quaid-e-Awam University Research Journal of Engineering, Science & Technology 20(2):64-70

Training in India for Autonomous maintenance
Provider	Programme	Format	Duration	Fee	Subsidy	Cities	For
National Productivity Council (NPC) - e-LEAP	Total Productive Maintenance (TPM): Basic Programme	online	self-paced	Rs.1200		online	shop manager, supervisor, maintenance head
Central Tool Room & Training Centre (CTTC) Bhubaneswar - MSME Technology Centre	Sr. Technician - Machine Maintenance & Automation (NSQF)	classroom	6 months / 600 hrs	₹ 33,810/-	No fee for SC/ST (NSQF courses)	Bhubaneswar	maintenance head, operator
CII TPM Club India (CII-IQ)	CII TPM Certificate / Excellence in Operational Technology (EOT) award & certification assessment; TPM Club membership	certification	assessment-based			pan-India	owner/MD, plant head, maintenance head
IMTMA Training (Indian Machine Tool Manufacturers' Association)	Understanding TPM and Roadmap for Implementation of TPM	classroom	2 days			Hosur	plant head, maintenance head

Cellular manufacturing (one-piece flow cells)

Lean/TPS

Also known as: manufacturing cells; U-cell; one-piece flow; single piece flow; group technology cells; line-cell conversion
Family: Lean/TPS
What it fixes: Put the few machines that make one part family next to each other in a cell, so parts move one by one instead of in batches
Symptoms on the floor: An order takes weeks to go through the plant; Half-finished parts pile up between machines; Machines are busy but orders still ship late; Small batches and many variants kill output; The floor is cluttered, no space to grow
Measure before and after: Order throughput time (days/hours, release to dispatch); WIP pieces between operations; floor area used; operators per unit output
How to get the baseline: Tag 10-20 job cards with date-time at each operation for two weeks; count WIP pieces at each machine at a fixed time each shift; measure the floor area with a tape
Who leads it: plant head
Plant size (employees): 50-200, 200-1000, 1000+
Industries: Auto and auto components, Machining and engineering, Electrical and electronics, Assembly lines, Textiles and garments, Pharma and medical devices
Do first: Value Stream Mapping, 5S (workplace organisation), Takt time planning, Assembly line balancing
Works well with: Plant layout redesign (Systematic Layout Planning), Spaghetti diagram (travel mapping), Standardised work, Skill matrix and cross-training, SMED (quick changeover), Quick Response Manufacturing (QRM) with POLCA, Heijunka (production levelling), Just-in-Time (JIT) production and purchasing
Common pitfall: Moving machines into a cell without cross-training operators and cutting setup times just relocates the batches
Last verified: 17 Oct 2026

Published results for Cellular manufacturing (one-piece flow cells)
Metric	Result	Context	Country	Source type	Citation
production lead time; WIP; operators	lead time two days -> one hour; WIP 500-1500 -> max 100 pieces; operators -14%; rework -80%	shirt sewing section, garment company; batch line converted to single piece flow work cells		Case study	Paneru N. (2011). Implementation of Lean Manufacturing Tools in Garment Manufacturing Process Focusing Sewing Section of Men's Shirt. Bachelor's thesis, Theseus (Finnish UAS repository)

CMMS / digital maintenance log

Digital

Also known as: computerised maintenance management system; maintenance software; digital breakdown register; work-order system
Family: Digital
What it fixes: One digital record of every machine, breakdown, repair, spare part and planned job, so maintenance is planned and history is not lost
Symptoms on the floor: Machines break down again and again; I don't know how much my machines actually run; The same problem comes back every month; People waste time looking for tools, dies, gauges
Measure before and after: MTTR; MTBF; number of stoppages per critical asset; % planned vs emergency work orders; maintenance cost as % of asset value; spares stock-outs
How to get the baseline: Count paper breakdown entries per month and check how many have start/end time, cause and spares used; compute MTTR/MTBF for top 10 machines from the register
Who leads it: maintenance head
Plant size (employees): 50-200, 200-1000, 1000+
Industries: any plant
Works well with: Preventive (planned) maintenance, Predictive maintenance (condition monitoring), Reliability-centred maintenance (RCM), TPM (Total Productive Maintenance), OEE measurement (loss tracking), IoT machine monitoring, ABC/XYZ inventory classification
Common pitfall: Software alone changes nothing: if technicians do not log jobs fully and on time, the data is wrong and the system becomes an expensive paper register
Last verified: 17 Oct 2026

Published results for CMMS / digital maintenance log
Metric	Result	Context	Country	Source type	Citation
plant production losses	production losses $22.54m (2013, no CMMS), $21.587m (2014), $19.365m (2015)	cement plant; limestone crusher, cement mill, kiln; year-on-year after CMMS deployment	NG	Peer-reviewed study	Adetunji O.R., Owolabi S.M., Adesusi O.M., Dairo O.U., Ipadeola S.O., Taiwo S.O. (2018). Effect of Computerized Maintenance Management System on a Cement Production Plant. International Journal of Integrated Engineering 10(4)
maintenance cost as % of replacement asset value	%RAV 3.74% with CMMS vs 5.67% without (benchmark 2.5%)	62 publicly listed process-industry companies; cross-sectional comparison, not before/after	PK	Peer-reviewed study	Ali M.H., Khalid R. (2021). Computerized Maintenance Management System: A case of Process Industries of Pakistan. Pakistan Journal of Engineering and Applied Sciences 28(1)

Training in India for CMMS / digital maintenance log
Provider	Programme	Format	Duration	Fee	Subsidy	Cities	For
National Productivity Council (NPC) - e-LEAP	Preventive Maintenance	online	self-paced	Rs.250		online	supervisor, maintenance head, operator

Compressed-air leak detection and repair

Energy/resources

Also known as: air leak survey; ultrasonic leak detection; leak tagging; compressed air audit
Family: Energy/resources
What it fixes: Find and tag hissing air leaks (often with an ultrasonic gun), fix them, and recheck every quarter so compressors run less
Symptoms on the floor: The power bill per unit keeps rising; Machines break down again and again
Measure before and after: Compressor kWh per day or per unit of output; leak rate as % of compressor output (load/unload test on a non-production day); number of open leak tags
How to get the baseline: On a holiday with all machines off, run compressors and time load vs unload with a stopwatch (or read the run-hour counter) — the loaded share is the leak share; walk the lines in quiet hours and tag each hiss
Cost: average repair cost of $30 per cfm of leakage (vs $156 savings per cfm)
Who leads it: maintenance head
Plant size (employees): 50-200, 200-1000, 1000+
Industries: Auto and auto components, Machining and engineering, Forging, casting and sheet metal, Plastics and rubber, Textiles and garments, Food and FMCG, Process industries
Works well with: Energy management system and energy audits, Preventive (planned) maintenance, Autonomous maintenance, 5S (workplace organisation), TPM (Total Productive Maintenance)
Common pitfall: One leak drive without a quarterly re-survey and a tag-and-close routine: leaks return within months and the saving disappears
Last verified: 17 Oct 2026

Published results for Compressed-air leak detection and repair
Metric	Result	Context	Country	Source type	Citation
compressed-air system energy consumption after leak repair	energy consumption improved by 8% after repairing leaks (230 leak points, ultrasonic survey)	manufacturing plant, 230 leak points over three measurement periods		Peer-reviewed study	Kapan, S. (2026). Energy Saving Potential and Machine Learning-Based Prediction of Compressed Air Leakages in Sustainable Manufacturing. Sustainability 18(2):904
savings vs repair cost per cfm of leakage	on average $156 savings per cfm repaired vs $30 repair cost per cfm; 740 leaks, >50% at hoses, threads, connectors, fittings	leak assessments at several US manufacturing plants plus 68 ITAC assessments	US	Peer-reviewed study	Barad, D., Buechler, J., Rasmussen, B. P. (2025). Optimizing Compressed Air System Efficiency in Manufacturing: A Study on Air Leak Repairs and Economical Impact. ASME MSEC 2025 (conference)
annual energy saved by leak arresting	1,20,356 kWh per year, INR 9 lakh; verified with energy meters and compressor run counters	cement plant, instrument air network, Wadi, Karnataka	IN	Vendor-reported	Atlas Copco India (n.d.). AIRScan helps leading cement manufacturer cut CO2 emissions. Customer story

Training in India for Compressed-air leak detection and repair
Provider	Programme	Format	Duration	Fee	Subsidy	Cities	For
National Productivity Council (NPC) - e-LEAP	Energy Efficiency Techniques-22	online	self-paced	Rs.1770		online	plant head, maintenance head
National Productivity Council (NPC) - Dr. Ambedkar Institute of Productivity	Energy Efficiency Hands-on Training on Electrical & Thermal Utilities	classroom	5 days			Chennai (AIP-NPC)	plant head, maintenance head
National Productivity Council (NPC) - Dr. Ambedkar Institute of Productivity	Energy Efficiency Practitioners Course for Industrial Applications	classroom	5 days			Chennai (AIP-NPC)	plant head, maintenance head
IMTMA Training (Indian Machine Tool Manufacturers' Association)	Maintenance and Troubleshooting of Hydraulics and Pneumatics Systems	classroom	2 days	Rs. 4999/- +18% GST	Group concession 10% for 3-5, 20% for 6+ delegates (as printed on IMTMA pages)	Ghaziabad	maintenance head, operator

CONWIP (constant work-in-process)

Planning

Also known as: ConWIP; constant WIP; WIP cap; card-based pull; CONWIP loop; Kanban-CONWIP hybrid
Family: Planning
What it fixes: Put a fixed number of cards on the whole line: a new job starts only when a finished one leaves, so WIP stays capped and orders flow faster
Symptoms on the floor: Half-finished parts pile up between machines; An order takes weeks to go through the plant; Machines are busy but orders still ship late; Dispatch dates keep slipping; Small batches and many variants kill output
Measure before and after: WIP count (jobs or pieces) on the floor; order flow time from release to dispatch; throughput per week; on-time delivery %
How to get the baseline: Count jobs/pallets between machines at a fixed time daily for two weeks; log release and completion dates of each job in a register to get flow time; throughput from dispatch register
Who leads it: plant head
Plant size (employees): 50-200, 200-1000, 1000+
Industries: Machining and engineering, Electrical and electronics
Do first: Value Stream Mapping, Theory of Constraints (drum-buffer-rope)
Works well with: Kanban (pull system), Quick Response Manufacturing (QRM) with POLCA, Theory of Constraints (drum-buffer-rope), Demand-Driven MRP (DDMRP), Finite-capacity scheduling (APS), Heijunka (production levelling)
Common pitfall: Setting the WIP cap too low starves the bottleneck and cuts output; the cap must be tuned against the bottleneck, not guessed
Last verified: 17 Oct 2026

Published results for CONWIP (constant work-in-process)
Metric	Result	Context	Country	Source type	Citation
WIP inventory	WIP down ~20,000 units (27.79%); kanban cards 48 to 38; inner-ring replenishment 6.94 to 6.53 days	bearing manufacturer (UN 3213B bottom roller bearing), Kanban with CONWIP	IN	Peer-reviewed study	Ukey K, Gajghate SS, Kumar S, Kumar Behera A, Majumder H (2025). Execution of Pull System and Constant Work-in-Process Using Kanban System - A Case Study. Engineering Proceedings (AdvaMAP 2025), art. 2
inventory turnover	38% increase in inventory turnover, cycle time reduced (hybrid Kanban-CONWIP pilot)	make-to-order job shop, manufacturer of electromechanical components for valve monitoring and controls		Peer-reviewed study	Leonardo DG, Sereno B, da Silva DSA, Sampaio M, Massote AA, Simoes JC (2017). Implementation of hybrid Kanban-CONWIP system: a case study. Journal of Manufacturing Technology Management 28(6):714-736

Cost of Poor Quality (COPQ) measurement

Six Sigma/quality

Also known as: cost of quality; CoQ; quality cost; PAF model (prevention-appraisal-failure)
Family: Six Sigma/quality
What it fixes: Put a rupee figure on scrap, rework, returns and inspection each month so quality losses get the same attention as sales
Symptoms on the floor: Too much rejection and rework; Customers complain or send material back; The same problem comes back every month
Measure before and after: COPQ as % of sales (internal failure: scrap+rework; external failure: returns, warranty, penalties; appraisal; prevention); rupees per month per defect type
How to get the baseline: For one month, pull scrap/rework registers, rejection notes, customer debit notes and inspection man-hours; price each at material + labour + machine hour; divide by monthly sales
Who leads it: quality head
Plant size (employees): 50-200, 200-1000, 1000+
Industries: any plant
Works well with: Pareto analysis (80/20), Six Sigma (DMAIC), 8D problem solving, ISO 9001 quality management system, Statistical Process Control (SPC), Poka-yoke (mistake-proofing), Automated visual inspection (machine vision / AI camera)
Common pitfall: Counting only scrap in the register and missing rework hours, sorting, premium freight and customer penalties, so the figure looks small and nobody acts
Last verified: 17 Oct 2026

Published results for Cost of Poor Quality (COPQ) measurement
Metric	Result	Context	Country	Source type	Citation
cost of internal failure	cost of internal failures reduced by about 40% after on-line gauge inspection	small-scale sheet metal unit, central India	IN	Case study	Kane P.V., Deshpande V.S. (2007). Design of on-line inspection methodology for reduction of cost of internal failure - a case study in sheet metal industry. 9th International Symposium on Measurement and Quality Control (ISMQC), IIT Madras
total cost of quality as % of sales	CoQ = 23% of sales revenue (prevention 4.8%, appraisal 10.2%, internal failure 7.4%, external failure 0.54%)	small export apparel factory, Addis Ababa	ET	Peer-reviewed study (baseline, not a result)	Panghal M., Prasad S., Tilahun S. (2022). Quantification of Cost of Quality: A Case Study in an Ethiopian Apparel Manufacturing Factory. Journal of Textile and Apparel, Technology and Management 12(3)
quality cost as % of sales	quality cost fell from 2.21% to 1.24% of sales (4.67 million baht on selected product within 5 months)	electronics appliance manufacturer, PAF model + Pareto + cause-and-effect	TH	Case study	Li Xiujie (2001). Quality cost reduction: a case study in electronics appliance manufacturing company. M.Eng thesis, Chulalongkorn University

Training in India for Cost of Poor Quality (COPQ) measurement
Provider	Programme	Format	Duration	Fee	Subsidy	Cities	For
National Productivity Council (NPC) - e-LEAP	Cost of Quality	online	self-paced	Rs.250		online	owner/MD, plant head, quality head
Ministry of MSME - MSME Sustainable (ZED) Certification Scheme (implemented by QCI)	ZED Certification (Bronze/Silver/Gold) + Gap Analysis & Handholding	certification	Bronze online self-certification; Silver/Gold with site assessment	Registration free	Subsidy on certification cost per scheme guidelines; handholding (consultancy) support up to Rs.2 lakh; free ZED certification for women-owned MSMEs	pan-India	owner/MD, plant head, quality head
CII Institute of Quality	Lean Six Sigma hand-holding & implementation; cost-saving projects; advanced programmes for senior management	handholding/consulting	engagement-based			Bengaluru (pan-India delivery)	owner/MD, plant head, quality head
IMTMA Training (Indian Machine Tool Manufacturers' Association)	World Class Manufacturing - What, Why and How; Tools and Techniques	classroom	2 days			Bengaluru	owner/MD, plant head
IMTMA Training (Indian Machine Tool Manufacturers' Association)	Implementing SPC, a Game Changer for Cost Reduction	classroom	1 day	Rs. 2999/- +18% GST	Group concession 10% for 3-5, 20% for 6+ delegates (as printed on IMTMA pages)	Pune	supervisor, quality head
IMTMA Training (Indian Machine Tool Manufacturers' Association)	Implementing SPC, a Game Changer for Cost Reduction	classroom	2 days			Bengaluru	supervisor, quality head
ACMA Centre for Technology (ACT) - ACMA Cluster Programme	ACMA Cluster Programme (Foundation QCD cluster, Lean, TPM, Zero-Defect, MFCA, Low-Cost Automation, Energy Efficiency, Safety, Digital)	handholding/consulting	multi-month cluster (duration not printed in source)			auto-component hubs (Pune, NCR, Chennai etc.)	owner/MD, plant head, shop manager
ACMA (Automotive Component Manufacturers Association of India)	E-learning: Material Flow Cost Accounting (MFCA) incl. MFCA in Kaizen and supply chain	online	self-paced modules			online	plant head, quality head

Daily management (tiered daily meetings)

Lean/TPS

Also known as: tier meetings; daily huddles; daily works management; DWM; shopfloor management; SQDC meetings; short interval control
Family: Lean/TPS
What it fixes: Short fixed daily meetings at line, section and plant level review yesterday's numbers, raise problems and assign owners
Symptoms on the floor: The same problem comes back every month; Output swings shift to shift; Too much rejection and rework; Improvement drives start well and fade out; Dispatch dates keep slipping
Measure before and after: Quality defect index or rejection %; output vs plan; OEE; open actions and % closed on time; inventory days
How to get the baseline: Collect last 4-8 weeks of daily rejection, output and downtime from existing registers into one sheet; count how many problems have a named owner and due date today
Typical duration: 17 to 22 weeks
Cost: Implementation costs (excluding consulting) averaging less than $3000 per firm; consulting would have cost about $250,000 (Bloom et al., 38-practice bundle, Indian textile firms)
Who leads it: plant head
Plant size (employees): 200-1000, 1000+
Industries: any plant
Do first: Visual management
Works well with: Visual management, Gemba walk, Hoshin kanri (policy deployment), 5-Why root cause analysis, A3 problem solving, OEE measurement (loss tracking)
Common pitfall: Meetings become long status reports with no owner or deadline for each problem, so the same issues return every day
Last verified: 17 Oct 2026

Published results for Daily management (tiered daily meetings)
Metric	Result	Context	Country	Source type	Citation
Productivity	productivity +17% in the first year (randomized; bundle of 38 practices incl. daily production/quality meetings and daily-updated visual boards)	Large Indian textile (weaving) firms, randomized treatment vs control plants, Mumbai area	IN	Peer-reviewed study	Bloom, N., Eifert, B., Mahajan, A., McKenzie, D., Roberts, J. (2013). Does Management Matter? Evidence from India. Quarterly Journal of Economics 128(1):1-51
Quality defects index (QDI)	32% fall in quality defects index - defects cut by about a third (faults caught in daily QDI and handled in next day's quality meeting)	Indian textile plants, intent-to-treat estimate	IN	Working paper	Bloom, N., Eifert, B., Mahajan, A., McKenzie, D., Roberts, J. (2010). Does Management Matter? Evidence from India. NBER Working Paper 16658
Overall Equipment Efficiency Total (OEET)	OEET 37% to 48%; equipment maintenance time 4,681 to 3,750 hours/year after DM	Logistics sector of an oil & gas industrial unit ('Alfa Company')	BR	Case study	Telhada, A.L.C., Damasio, M.E.P., Pacheco, D.J., Molina Palma, M.A., Margem, F.M. (2026). Daily production management based on Lean Manufacturing: strategies for process optimization and control in the logistics sector. Cadernos Cajuina 11(3):e2141

Training in India for Daily management (tiered daily meetings)
Provider	Programme	Format	Duration	Fee	Subsidy	Cities	For
National Productivity Council (NPC) - e-LEAP	Supervisor and His Job	online	self-paced	Rs.250		online	supervisor
National Productivity Council (NPC) - e-LEAP	TQM Implementation for Business Excellence	online	self-paced	Rs.2000		online	owner/MD, plant head, quality head
Ministry of MSME - MSME Sustainable (ZED) Certification Scheme (implemented by QCI)	ZED Certification (Bronze/Silver/Gold) + Gap Analysis & Handholding	certification	Bronze online self-certification; Silver/Gold with site assessment	Registration free	Subsidy on certification cost per scheme guidelines; handholding (consultancy) support up to Rs.2 lakh; free ZED certification for women-owned MSMEs	pan-India	owner/MD, plant head, quality head
Quality Council of India - National Board for Quality Promotion (NBQP), Training & Capacity Building Division	Quality awareness workshops and tailored training / capacity building	in-plant	tailored			pan-India	owner/MD, quality head
IMTMA Training (Indian Machine Tool Manufacturers' Association)	World Class Manufacturing - What, Why and How; Tools and Techniques	classroom	2 days			Bengaluru	owner/MD, plant head
IMTMA Training (Indian Machine Tool Manufacturers' Association)	Lean Daily Work Management (DWM) System	classroom	1 day	Rs. 2999/- +18% GST	Group concession 10% for 3-5, 20% for 6+ delegates (as printed on IMTMA pages)	Bengaluru	plant head, shop manager, supervisor

Demand-Driven MRP (DDMRP)

Planning

Also known as: demand driven material requirements planning; DDMRP buffers; demand-driven planning
Family: Planning
What it fixes: Keep sized stock buffers at a few chosen points and reorder from actual consumption, not forecasts, so material is there without piling up
Symptoms on the floor: Raw material runs out - or too much is lying around; Dispatch dates keep slipping; An order takes weeks to go through the plant; Machines are busy but orders still ship late
Measure before and after: Inventory value or days on hand; stock-outs / shortages per month; on-time delivery %; purchase/part lead time
How to get the baseline: From ERP or stock register: average inventory value per month and count of shortage events that stopped a line or delayed dispatch; on-time delivery from dispatch register vs promised dates
Who leads it: plant head
Plant size (employees): 200-1000, 1000+
Industries: any plant
Do first: ABC/XYZ inventory classification, Value Stream Mapping
Works well with: Kanban (pull system), Sales and Operations Planning (S&OP), Just-in-Time (JIT) production and purchasing, Vendor-managed inventory (VMI), CONWIP (constant work-in-process), Finite-capacity scheduling (APS)
Common pitfall: Buffers are only as good as their sizing and ERP data; badly set buffers can raise stock rather than cut it, as one simulation found
Last verified: 17 Oct 2026

Published results for Demand-Driven MRP (DDMRP)
Metric	Result	Context	Country	Source type	Citation
inventory level	inventory reduced by 52.53% while material consumption rose 8.7%, service level maintained	real company converting from MRP to DDMRP (before/after comparison)		Peer-reviewed study	Kortabarria A, Apaolaza U, Lizarralde A, Amorrortu I (2018). Material management without forecasting: From MRP to demand driven MRP. Journal of Industrial Engineering and Management 11(4):632

Design of Experiments (DOE / Taguchi)

Six Sigma/quality

Also known as: DoE; Taguchi method; orthogonal arrays; factorial experiments; robust design; parameter optimisation
Family: Six Sigma/quality
What it fixes: Change several process settings together in a planned set of trial runs to find the combination that gives fewest defects
Symptoms on the floor: Too much rejection and rework; The same problem comes back every month; Quality depends on one experienced operator; Machines run slower than they should; Output swings shift to shift
Measure before and after: rejection % for the target defect; yield; Cpk of the response; scrap cost per month
How to get the baseline: Pull last 3 months rejection % by defect type from the inspection/rejection register; note current settings (temperature, pressure, sand moisture, feed) per batch
Who leads it: quality head
Plant size (employees): 200-1000, 1000+
Industries: Machining and engineering, Forging, casting and sheet metal, Plastics and rubber, Process industries
Do first: Measurement System Analysis (Gauge R&R), Statistical Process Control (SPC)
Works well with: Six Sigma (DMAIC), Statistical Process Control (SPC), Measurement System Analysis (Gauge R&R), Pareto analysis (80/20), Ishikawa (fishbone) cause-and-effect diagram
Common pitfall: Optimal settings found in the trial are not locked into the standard work sheet, so operators drift back to old settings
Last verified: 17 Oct 2026

Published results for Design of Experiments (DOE / Taguchi)
Metric	Result	Context	Country	Source type	Citation
casting rejection rate	rejection rate reduced from 16.98% to 6.07%	ductile iron castings, medium-scale foundry, Taguchi L-27	IN	Peer-reviewed study	Johnson Santhosh A., Lakshmanan A.R. (2016). Investigation of ductile iron casting process parameters using Taguchi approach and response surface methodology. China Foundry 13(5):352-360
electrical failures	reduction in the electrical failures of around 50%	semiconductor inkjet cartridge plant, 2^3 DOE within Six Sigma project	MX	Peer-reviewed study	Valles A., Sanchez J., Noriega S., Gomez Nunez B. (2009). Implementation of Six Sigma in a Manufacturing Process: A Case Study. International Journal of Industrial Engineering 16(3):171-181

Training in India for Design of Experiments (DOE / Taguchi)
Provider	Programme	Format	Duration	Fee	Subsidy	Cities	For
Indian Statistical Institute - SQC & OR Unit Hyderabad	In-plant training programmes (top management / middle managers / shopfloor supervisors & operators)	in-plant	1-3 days top mgmt; 3-5 days managers; 2-3 days shopfloor			at client plant	owner/MD, plant head, supervisor, quality head, operator
IIM Mumbai - Open MDP	Business Accelerator Program for MSME	online	3 days / 18 hours			online	owner/MD

Employee suggestion system

People/standard work

Also known as: suggestion scheme; idea management; kaizen teian; employee suggestion scheme (ESS)
Family: People/standard work
What it fixes: A simple, fast route for every worker to propose small fixes, with quick yes/no, quick action and visible reward
Symptoms on the floor: Improvement drives start well and fade out; The same problem comes back every month; Overtime keeps rising, output does not; Too many people for the output we get
Measure before and after: Ideas submitted per employee per year; % of ideas implemented; days from idea to decision; savings (Rs) from implemented ideas; % of workers who submitted at least one idea
How to get the baseline: Count ideas in the existing suggestion box/register for the last 12 months; note how many were answered and implemented and how long each took; headcount from payroll
Who leads it: plant head
Plant size (employees): 50-200, 200-1000, 1000+
Industries: any plant
Works well with: Kaizen (continuous improvement), Quality circles, Daily management (tiered daily meetings), Visual management, 5S (workplace organisation)
Common pitfall: Schemes die when ideas sit unanswered for weeks or rewards favour a few big ideas over many small ones the worker can implement himself
Last verified: 17 Oct 2026

Published results for Employee suggestion system
Metric	Result	Context	Country	Source type	Citation
savings from implemented employee suggestions	Savings of nearly Rs 400 million in FY2004-05; >57,000 suggestions, ~20,000 accepted	BHEL, heavy electrical engineering PSU, company-wide	IN	Consultant-reported	Bharat Heavy Electricals Ltd (2005). BHEL's participative culture pays rich dividends: employees' suggestions lead to savings of Rs.400 million. Company press release, 02/05/2005
estimated economic effect of suggestions per firm	225.4 billion yen/year across 278 firms (avg 810 million yen per firm); 12.8 suggestions per employee per year	1981 survey of 427 Japanese firms (Japan Human Relations Association / Japan Suggestion Activities Association), ~1.83 million employees	JP	Case study	Akaoka, I. (1983). Motivation of Employees in Japan. Kyoto University Economic Review 53:25-

Training in India for Employee suggestion system
Provider	Programme	Format	Duration	Fee	Subsidy	Cities	For
National Productivity Council (NPC) - e-LEAP	Kaizen	online	self-paced	Rs.250		online	shop manager, supervisor, operator
National Productivity Council (NPC) - e-LEAP	Quality, Waste Minimization & Safety Circles	online	self-paced	Rs.250		online	supervisor, operator

Energy management system and energy audits

Energy/resources

Also known as: ISO 50001; EnMS; energy audit; detailed energy audit (DEA); strategic energy management; SEM
Family: Energy/resources
What it fixes: Measure where power and fuel go per unit made, fix the big leaks of energy, and keep a monthly routine so savings stay
Symptoms on the floor: The power bill per unit keeps rising; I don't know how much my machines actually run
Measure before and after: Specific energy consumption (kWh or toe per tonne / per piece); monthly energy bill per unit of output; share of energy cost in conversion cost
How to get the baseline: 12 months of electricity and fuel bills divided by monthly production from the dispatch register; sub-meter or clamp-meter readings on the biggest users (furnaces, compressors, motors) for a week
Who leads it: plant head
Plant size (employees): 50-200, 200-1000, 1000+
Industries: Machining and engineering, Forging, casting and sheet metal, Textiles and garments, Food and FMCG, Process industries
Do first: OEE measurement (loss tracking)
Works well with: Compressed-air leak detection and repair, Pareto analysis (80/20), Kaizen (continuous improvement), Daily management (tiered daily meetings), IoT machine monitoring, TPM (Total Productive Maintenance)
Common pitfall: A one-off audit report that nobody owns produces a list of measures but savings fade unless energy per unit is reviewed every month like output
Government support in India: BEE SME programme and BEE/TERI SAMEEEKSHA run cluster energy audits (e.g. Rajkot foundry deep-dive 2015-17)
Last verified: 17 Oct 2026

Published results for Energy management system and energy audits
Metric	Result	Context	Country	Source type	Citation
annual energy performance improvement rate	around 4.1% in the initial year of implementation and around 3.4% twelve years after implementation	83 manufacturing facilities with verified ISO 50001 energy performance data		Peer-reviewed study	Fitzgerald, P., Therkelsen, P. L., Sheaffer, P., Rao, P. (2023). Deeper and persistent energy savings and carbon dioxide reductions achieved through ISO 50001 in the manufacturing sector. Sustainable Energy Technologies and Assessments 57:103280
annual energy savings after detailed energy audits and implementation support	757 ECMs implemented, 1409 toe/year energy savings, CO2 reductions over 12,700 t; monetary benefit Rs 1130 lakh/year (table)	Rajkot foundry cluster, 110 MSME foundries, TERI-SDC deep dive 2015-17	IN	Case study	TERI / BEE (2018). SAMEEEKSHA Newsletter Vol 9 Issue 2 (June 2018): deep dive approach in Rajkot foundry cluster
share of identified energy conservation measures needing no investment / paying back within 1 year	242 ECMs (23%) required no investment; 463 (44%) paid back within one year	Rajkot foundry cluster, 110 MSME foundries	IN	Case study	TERI / BEE (2018). SAMEEEKSHA Newsletter Vol 9 Issue 2 (June 2018)

Training in India for Energy management system and energy audits
Provider	Programme	Format	Duration	Fee	Subsidy	Cities	For
National Productivity Council (NPC) - e-LEAP	ISO 50001:2018 Energy Management System (EnMS)	online	self-paced	Rs.1770		online	plant head, maintenance head
National Productivity Council (NPC) - e-LEAP	Energy Efficiency Techniques-22	online	self-paced	Rs.1770		online	plant head, maintenance head
National Productivity Council (NPC) - e-LEAP	Energy Management System Auditors Course	online	self-paced	Rs.1770		online	plant head, maintenance head
National Productivity Council (NPC) - e-LEAP	Energy Management Professional Short Course	online	self-paced	Rs.0		online	plant head, maintenance head
National Productivity Council (NPC) - Dr. Ambedkar Institute of Productivity	Energy Efficiency Hands-on Training on Electrical & Thermal Utilities	classroom	5 days			Chennai (AIP-NPC)	plant head, maintenance head
National Productivity Council (NPC) - Dr. Ambedkar Institute of Productivity	Energy Efficiency Practitioners Course for Industrial Applications	classroom	5 days			Chennai (AIP-NPC)	plant head, maintenance head
Ministry of MSME - MSME Sustainable (ZED) Certification Scheme (implemented by QCI)	ZED Certification (Bronze/Silver/Gold) + Gap Analysis & Handholding	certification	Bronze online self-certification; Silver/Gold with site assessment	Registration free	Subsidy on certification cost per scheme guidelines; handholding (consultancy) support up to Rs.2 lakh; free ZED certification for women-owned MSMEs	pan-India	owner/MD, plant head, quality head
ACMA Centre for Technology (ACT) - ACMA Cluster Programme	ACMA Cluster Programme (Foundation QCD cluster, Lean, TPM, Zero-Defect, MFCA, Low-Cost Automation, Energy Efficiency, Safety, Digital)	handholding/consulting	multi-month cluster (duration not printed in source)			auto-component hubs (Pune, NCR, Chennai etc.)	owner/MD, plant head, shop manager
IIM Calcutta - Executive Education	Advanced Programme in Smart Manufacturing Leadership (APSML)	online	8 months (Saturday evening live sessions + 4-day campus visit)	Rs. 2,74,000/- + (Applicable Taxes)		online + Kolkata campus	owner/MD, plant head

Finite-capacity scheduling (APS)

Digital

Also known as: APS; advanced planning and scheduling; finite loading; production scheduling software; machine-level scheduling
Family: Digital
What it fixes: Plan jobs machine by machine against real hours available, so promised dates reflect what the shop can actually do
Symptoms on the floor: Machines are busy but orders still ship late; Dispatch dates keep slipping; One machine or section always holds everyone up; An order takes weeks to go through the plant; Overtime keeps rising, output does not
Measure before and after: % orders dispatched on or before promised date; planner hours per week to make the plan; utilisation of key machines; schedule changes per week
How to get the baseline: From dispatch register take last 3 months of orders, mark promised vs actual dispatch date, compute % on time; ask planner to log hours spent making/re-making the plan for two weeks
Who leads it: plant head
Plant size (employees): 200-1000, 1000+
Industries: Machining and engineering, Forging, casting and sheet metal
Do first: OEE measurement (loss tracking), Standardised work
Works well with: Theory of Constraints (drum-buffer-rope), Quick Response Manufacturing (QRM) with POLCA, Sales and Operations Planning (S&OP), CONWIP (constant work-in-process), IoT machine monitoring
Common pitfall: Schedules are only as good as routing times and machine availability data; with wrong cycle times the software gives confident but wrong dates and planners go back to Excel
Last verified: 17 Oct 2026

Published results for Finite-capacity scheduling (APS)
Metric	Result	Context	Country	Source type	Citation
Compliance with delivery deadlines	from 60 to 90 percent; planning time 4 days to 1	moulds and plastic/metal parts maker, Siemens Opcenter APS	BR	Vendor-reported	Siemens Digital Industries Software (n.d.). Artis Matriz case study (Opcenter APS). Vendor web page
On-time deliveries	on-time deliveries improved by 15 percent	mining and aggregate heavy equipment maker, Siemens Opcenter APS	CA	Vendor-reported	Siemens Digital Industries Software (n.d.). Masaba Canada case study (Opcenter APS). Vendor web page

Training in India for Finite-capacity scheduling (APS)
Provider	Programme	Format	Duration	Fee	Subsidy	Cities	For
National Productivity Council (NPC) - e-LEAP	Introduction to Works Planning and Control	online	self-paced	Rs.250		online	plant head, shop manager
National Institute for MSME (NI-MSME)	Smart Production Management with AI Decision (SED/SM/4)	classroom	3 days			Hyderabad	owner/MD, plant head

Gemba walk

Lean/TPS

Also known as: gemba walks; leader shop-floor walk; go and see; genchi genbutsu; management by walking around
Family: Lean/TPS
What it fixes: Managers walk the shop floor on a fixed schedule, watch the real work, ask operators and fix what blocks them
Symptoms on the floor: Improvement drives start well and fade out; Workers wait for material, cranes or instructions; The same problem comes back every month; Output swings shift to shift; Machines break down again and again
Measure before and after: Share of planned walks actually done; issues raised per walk and % closed within 7 days; OEE or output per shift on the walked lines; MTTR
How to get the baseline: Keep a simple walk register (date, walker, area, issues found, owner, closed date) for 4 weeks before changing anything; note current OEE/output from the production register
Who leads it: plant head
Plant size (employees): 50-200, 200-1000, 1000+
Industries: any plant
Do first: Standardised work
Works well with: Daily management (tiered daily meetings), Visual management, 5S (workplace organisation), Kaizen (continuous improvement), A3 problem solving, Hoshin kanri (policy deployment)
Common pitfall: Walks turn into inspection tours or blame sessions, workers stop raising problems and the walk schedule quietly dies
Last verified: 17 Oct 2026

Published results for Gemba walk
Metric	Result	Context	Country	Source type	Citation
Overall factory performance (OEE-type efficiency)	approximately 5% increase in overall factory performance; 5% package maker; 1.5% extruder, alongside higher adherence to the gemba walk schedule	Animal feed factory, one-year study; weekly digital reminder to keep the walk schedule	BR	Case study	Almeida, A.G.M. (2025). Uso da ferramenta de Gemba Walks para aumentar a eficiencia geral de equipamentos: um estudo de caso. Bachelor thesis (TCC), Universidade Federal de Pernambuco

Training in India for Gemba walk
Provider	Programme	Format	Duration	Fee	Subsidy	Cities	For
IMTMA Training (Indian Machine Tool Manufacturers' Association)	Lean Daily Work Management (DWM) System	classroom	1 day	Rs. 2999/- +18% GST	Group concession 10% for 3-5, 20% for 6+ delegates (as printed on IMTMA pages)	Bengaluru	plant head, shop manager, supervisor

Heijunka (production levelling)

Lean/TPS

Also known as: production levelling; production smoothing; level loading; mixed-model scheduling; heijunka box
Family: Lean/TPS
What it fixes: Plan the same small mix of products every day or week instead of big batches of one item, so load, stock and staffing stay even
Symptoms on the floor: Small batches and many variants kill output; Output swings shift to shift; Raw material runs out - or too much is lying around; Half-finished parts pile up between machines; Dispatch dates keep slipping
Measure before and after: Finished-goods and inter-process inventory (days of stock), average lot size, number of setups per month, on-time delivery / service level, daily output variation
How to get the baseline: From the stores register and production log take 3 months of daily output per product, lot sizes, setups per month and month-end stock; plot daily output to see swings
Who leads it: plant head
Plant size (employees): 200-1000, 1000+
Industries: Auto and auto components, Machining and engineering, Forging, casting and sheet metal, Assembly lines, Process industries
Do first: SMED (quick changeover), Standardised work, Kanban (pull system), ABC/XYZ inventory classification
Works well with: Takt time planning, Kanban (pull system), In-plant milk-run with supermarket, Sales and Operations Planning (S&OP), Finite-capacity scheduling (APS), Just-in-Time (JIT) production and purchasing
Common pitfall: Levelling without short changeovers multiplies setups and can cost more than plain make-to-order; one action-research study found MTO without heijunka was cheaper for its factory
Last verified: 17 Oct 2026

Published results for Heijunka (production levelling)
Metric	Result	Context	Country	Source type	Citation
Actual inventory (monthly average)	actual inventory decreased in 23% in average monthly values	Stamping-like press stage, 2 machines, up to 130 product models, make-to-stock batch production; subsidiary of a multinational; 3 months before vs 3 months after	BR	Peer-reviewed study	Araujo L.F., Queiroz A.A. (2010). Production Leveling (Heijunka) Implementation in a Batch Production System: A Case Study. In: APMS 2009, IFIP AICT 338, Springer: 105-112
Average lot size	average lot size has also been decreased by 18% in monthly average value; monthly set ups increased 10%; service level unchanged	Same case: press stage, make-to-stock, Brazil subsidiary of multinational	BR	Peer-reviewed study	Araujo L.F., Queiroz A.A. (2010). Production Leveling (Heijunka) Implementation in a Batch Production System: A Case Study. In: APMS 2009, IFIP AICT 338, Springer: 105-112
Inter-process inventory	inter-process inventory was reduced to 20% in just five years	Manufacturer of interior subassembly items for commercial jets, low-mix/low-volume; over 5 years		Case study	Koide K., Iwata T. (2007). Kaizen Through Heijunka Production (Leveled Production). SAE Technical Paper 2007-01-3886

Training in India for Heijunka (production levelling)
Provider	Programme	Format	Duration	Fee	Subsidy	Cities	For
IMTMA Training (Indian Machine Tool Manufacturers' Association)	Implementing Toyota Production System - Why, What and How	classroom	2 days	Rs. 4999/- +18% GST	Group concession 10% for 3-5, 20% for 6+ delegates (as printed on IMTMA pages)	Bengaluru	plant head, shop manager

Hoshin kanri (policy deployment)

Lean/TPS

Also known as: policy deployment; strategy deployment; X-matrix; catchball; management by policy
Family: Lean/TPS
What it fixes: Pick 3-5 yearly breakthrough goals, cascade them into each department's targets and projects, and review progress monthly
Symptoms on the floor: Improvement drives start well and fade out; Dispatch dates keep slipping; Overtime keeps rising, output does not; Too many people for the output we get
Measure before and after: Labour productivity (output per man-hour); on-time delivery %; order lead time; % of improvement projects linked to an annual goal; specific energy use
How to get the baseline: List all running improvement projects and check which annual goal each serves; take last 12 months of output per man-hour, OTD and lead time from dispatch and attendance registers
Typical duration: 22 to 104 weeks
Who leads it: owner/MD
Plant size (employees): 200-1000, 1000+
Industries: Auto and auto components, Electrical and electronics, Plastics and rubber, Process industries
Do first: Daily management (tiered daily meetings), A3 problem solving
Works well with: Daily management (tiered daily meetings), Gemba walk, A3 problem solving, Six Sigma (DMAIC), Kaizen (continuous improvement), Sales and Operations Planning (S&OP)
Common pitfall: Too many goals are cascaded top-down without catchball, so departments sign targets they never own and reviews stop after the first quarter
Last verified: 17 Oct 2026

Published results for Hoshin kanri (policy deployment)
Metric	Result	Context	Country	Source type	Citation
Labour productivity	labour productivity +6% over two years	Semiconductor manufacturer in rapid growth; lean phase then BPR phase		Peer-reviewed study	Yang, T.-M., Su, C.-T. (2007). Application of hoshin kanri for productivity improvement in a semiconductor manufacturing company. Journal of Manufacturing Technology Management 18(6):761-775
Lead time; on-time delivery	on-time delivery +21%; lead time 8 to 4 weeks (with visual data management)	UK SME, high-performance plastics manufacturer, action research	GB	Case study	Jalali-Roudsari, M., Murray, S.L. (2013). Enabling initiation of a lean management system in SMEs: a case study of a high performance plastics manufacturer. Cranfield University repository (CERES)
Specific natural gas consumption	-23% natural gas consumption, -7% greenhouse gas emissions over a five-month initiative (Hoshin Kanri + Six Sigma)	Global pulp and paper company		Peer-reviewed study	Carneiro, F., Shakirov, E.F., Hart, A.J., Andrade, J.O., Novoa, H., Carvalho, A.M. (2026). Operational excellence as a platform for ESG integration: A case study of integrated Hoshin Kanri and six sigma in the pulp and paper industry. Sustainable Futures 12:102088

Training in India for Hoshin kanri (policy deployment)
Provider	Programme	Format	Duration	Fee	Cities	For
National Productivity Council (NPC) - e-LEAP	TQM Implementation for Business Excellence	online	self-paced	Rs.2000	online	owner/MD, plant head, quality head
IIM Mumbai - Open MDP	Business Accelerator Program for MSME	online	3 days / 18 hours		online	owner/MD
IIM Calcutta - Executive Education	Advanced Programme in Smart Manufacturing Leadership (APSML)	online	8 months (Saturday evening live sessions + 4-day campus visit)	Rs. 2,74,000/- + (Applicable Taxes)	online + Kolkata campus	owner/MD, plant head

In-plant milk-run with supermarket

Lean/TPS

Also known as: milk run; mizusumashi; water spider; logistics train; tugger train; line-side supermarket; internal logistics route
Family: Lean/TPS
What it fixes: A small store (supermarket) near the line plus a fixed-route, fixed-time trolley that tops up each machine, so nobody waits for material
Symptoms on the floor: Workers wait for material, cranes or instructions; Raw material runs out - or too much is lying around; The floor is cluttered, no space to grow; Half-finished parts pile up between machines
Measure before and after: Minutes machines/operators wait for material per shift; milk-run lap time; number of forklift/crane trips; floor area taken by line-side stock; material shortages at line
How to get the baseline: For one week, supervisor logs every 'waiting for material' stop with start/end time on a check sheet; time several material-feeding trips with a stopwatch and sketch the route
Who leads it: plant head
Plant size (employees): 200-1000, 1000+
Industries: Auto and auto components, Machining and engineering, Electrical and electronics, Assembly lines
Do first: 5S (workplace organisation), Standardised work, Kanban (pull system)
Works well with: Line-side kitting, Kanban (pull system), Just-in-Time (JIT) production and purchasing, Plant layout redesign (Systematic Layout Planning), Spaghetti diagram (travel mapping), Takt time planning, Heijunka (production levelling)
Common pitfall: A milk-run on an unstable schedule or without fixed container quantities just becomes a costlier forklift doing emergency runs
Last verified: 17 Oct 2026

Published results for In-plant milk-run with supermarket
Metric	Result	Context	Country	Source type	Citation
milk-run lap time	15% reduction of milk-run lap time; fewer laps; one vehicle with four wagons serves all lines	automotive component manufacturer, inbound in-plant milk-run redesign with management software		Peer-reviewed study	Tellini T, Silva FJG, Pereira T, Morgado L, Campilho RDSG, Ferreira LP (2019). Improving In-Plant Logistics Flow by Physical and Digital Pathways. Procedia Manufacturing 38:965-974
milk-run cycle time	9% average reduction of milk-run cycle time after standardising supply and operator training	automotive component manufacturer, milk-run feeding an assembly line, PDCA project	PT	Peer-reviewed study	Amaral VP, Ferreira AC, Ramos B (2022). Internal Logistics Process Improvement using PDCA: A Case Study in the Automotive Sector. Business Systems Research 13(3):100-115

Training in India for In-plant milk-run with supermarket
Provider	Programme	Format	Duration	Fee	Subsidy	Cities	For
National Productivity Council (NPC) - e-LEAP	NRLL Series M6 - Lean Tools for Supply Chain Management: JIT and Kanban	online	self-paced	Rs.1500		online	shop manager, supervisor

IoT machine monitoring

Digital

Also known as: IIoT machine monitoring; real-time OEE; machine data collection; retrofit sensors; Industry 4.0 for SMEs; MDC
Family: Digital
What it fixes: Simple sensors on machines record run, stop and count automatically, so you see real uptime and stop reasons per machine on a screen
Symptoms on the floor: I don't know how much my machines actually run; Machines run slower than they should; Output swings shift to shift; Machines break down again and again; One machine or section always holds everyone up
Measure before and after: Machine utilisation % and OEE % per machine/shift (auto-logged); unplanned stop minutes and count by reason; pieces per hour
How to get the baseline: Before sensors: supervisor run/stop log per machine at fixed intervals (work sampling) or operator downtime register for 2 weeks; compare with the sensor log after install (expect manual logs to understate short stops)
Typical duration: 30 to 30 weeks
Cost: Hardware for one retrofitted hand press: GBP 93 (plus GBP 10,400 R&D/staff); commercial monitoring for 48 machines: 5-year TCO GBP 13,400 to GBP 216,000
Who leads it: plant head
Plant size (employees): 50-200, 200-1000, 1000+
Industries: any plant
Do first: OEE measurement (loss tracking)
Works well with: OEE measurement (loss tracking), Predictive maintenance (condition monitoring), CMMS / digital maintenance log, Daily management (tiered daily meetings), Visual management, TPM (Total Productive Maintenance), Work sampling
Common pitfall: Data alone changes nothing: gains came only where someone reviewed stops daily and acted; also check that demand swings are not mistaken for improvement
Last verified: 17 Oct 2026

Published results for IoT machine monitoring
Metric	Result	Context	Country	Source type	Citation
Average efficiency of work centres (real-time OEE)	average efficiency improved by 12.3% in 7 months	Medium-sized eyewear manufacturer, 3 manual assembly work centres, IoT + cloud real-time OEE	BR	Peer-reviewed study	Novochadlo Y.M., Paladini E.P. (2024). Application of real-time overall equipment efficiency indicator in a medium-sized company. Brazilian Journal of Operations & Production Management 21(2):2042
OEE of machining cell	from 36.9 percent OEE to 85 percent OEE; fourth machine not needed	Magellan Aerospace, Kitchener, Ontario; Memex MERLIN monitoring (vendor customer story in trade press)	CA	Vendor-reported	Albert M. (2014). Machine Monitoring Proves Its Worth. Modern Machine Shop

Training in India for IoT machine monitoring
Provider	Programme	Format	Duration	Fee	Subsidy	Cities	For
National Productivity Council (NPC)	Operational Excellence in Manufacturing: Lean, TPM & Industry 4.0	classroom	5 days			Puri	plant head, shop manager, maintenance head
National Institute for MSME (NI-MSME)	Smart Production Management with AI Decision (SED/SM/4)	classroom	3 days			Hyderabad	owner/MD, plant head
National Institute for MSME (NI-MSME)	Smart Factory Design & AI Integration: Building Future-Ready MSME Manufacturing Enterprises (SED/SM/5)	classroom	3 days			Hyderabad	owner/MD, plant head
IMTMA Training (Indian Machine Tool Manufacturers' Association)	Introduction to Digital Factory	classroom	2 days			Bengaluru	plant head, maintenance head
IIM Mumbai (formerly NITIE) - Open MDP	Manufacturing & Operational Excellence	online	3 days / 18 hours		Bulk discount for 5+ participants from same organisation	online	plant head, shop manager, quality head, maintenance head
IIM Calcutta - Executive Education	Advanced Programme in Smart Manufacturing Leadership (APSML)	online	8 months (Saturday evening live sessions + 4-day campus visit)	Rs. 2,74,000/- + (Applicable Taxes)		online + Kolkata campus	owner/MD, plant head

Ishikawa (fishbone) cause-and-effect diagram

Six Sigma/quality

Also known as: fishbone diagram; cause-and-effect diagram; 6M diagram
Family: Six Sigma/quality
What it fixes: A team draws all possible causes of one problem on a 'fish skeleton' (man, machine, method, material...) and then checks the likeliest
Symptoms on the floor: Too much rejection and rework; The same problem comes back every month; Customers complain or send material back
Measure before and after: Rejection % for the specific defect; number of hypotheses checked vs confirmed
How to get the baseline: Rejection register by defect type for 1-4 months (check sheet) to pick the one defect to analyse
Who leads it: quality head
Plant size (employees): 50-200, 200-1000, 1000+
Industries: Auto and auto components, Forging, casting and sheet metal, Textiles and garments, Pharma and medical devices
Do first: Pareto analysis (80/20)
Works well with: 5-Why root cause analysis, Pareto analysis (80/20), 8D problem solving, Six Sigma (DMAIC), Quality circles
Common pitfall: The diagram becomes a brainstorm list nobody tests; without data to weight and verify causes, the team fixes the loudest guess
Last verified: 17 Oct 2026

Published results for Ishikawa (fishbone) cause-and-effect diagram
Metric	Result	Context	Country	Source type	Citation
defect percentage	defect percentage decreased from 6.51% to 5.84%; annual cost reduction 199,800 baht	nylon synthetic fibre plant (Thailand); fishbone diagram + brainstorming found root causes of yarn breaks and pack changes; fixes implemented (work instructions, inspection sheets, Godet roller check schedule, factorial-DOE pack-change interval). Fishbone combined with Pareto/ECRS/DOE, so effect is of the bundle.	TH	Peer-reviewed study	Sriyanalugsana S., Punnaphasasiphas P. (2024). Defect Reduction in Nylon Fibers Manufacturing Process. Thai Industrial Engineering Network Journal 10(1):1-11

Training in India for Ishikawa (fishbone) cause-and-effect diagram
Provider	Programme	Format	Duration	Fee	Subsidy	Cities	For
National Productivity Council (NPC) - e-LEAP	Basic 7QC Tools	online	self-paced	Rs.250		online	supervisor, quality head, operator
National Productivity Council (NPC) - e-LEAP	New 7 QC Tools	online	self-paced	Rs.250		online	shop manager, quality head
National Productivity Council (NPC) - e-LEAP	Problem Analysis and Decision Making	online	self-paced	Rs.250		online	shop manager, supervisor
IMTMA Training (Indian Machine Tool Manufacturers' Association)	8D Problem Solving Methodology and 7QC Tools	classroom	2 days			Gurugram	supervisor, quality head
IMTMA Training (Indian Machine Tool Manufacturers' Association)	Problem-Solving Tools for Securing our Present & Future	classroom	1 day	Rs. 2999/- +18% GST	Group concession 10% for 3-5, 20% for 6+ delegates (as printed on IMTMA pages)	Chhatrapati Sambhajinagar	shop manager, supervisor
IMTMA Training (Indian Machine Tool Manufacturers' Association)	Certified Specialist in Root Cause Analysis	classroom	2 days			Pune	supervisor, quality head, maintenance head

ISO 9001 quality management system

Six Sigma/quality

Also known as: ISO 9000; QMS certification
Family: Six Sigma/quality
What it fixes: A written, audited system for how the plant controls quality: procedures, records, corrective actions, management review
Symptoms on the floor: Customers complain or send material back; The same problem comes back every month; Quality depends on one experienced operator; Too much rejection and rework; Improvement drives start well and fade out
Measure before and after: Rejection/wastage %, customer complaints per month, repeat non-conformances, on-time corrective-action closure; sales growth
How to get the baseline: From existing rejection registers and customer complaint files: 6-12 months of monthly rejection % and complaint count before starting the system
Who leads it: quality head
Plant size (employees): 50-200, 200-1000, 1000+
Industries: any plant
Works well with: Cost of Poor Quality (COPQ) measurement, 8D problem solving, Standardised work, Daily management (tiered daily meetings), Statistical Process Control (SPC), Measurement System Analysis (Gauge R&R), Process FMEA (PFMEA)
Common pitfall: Certifying for the customer's paperwork (a 'certificate on the wall') without using corrective action and management review, which gives cost without performance gains
Last verified: 17 Oct 2026

Published results for ISO 9001 quality management system
Metric	Result	Context	Country	Source type	Citation
sales vs matched non-adopters	sales almost 9 percentage points higher at ISO 9001 adopters than matched comparison firms (effect appears from year 4)	matched sample of single-plant California firms across industries	US	Working paper	Levine D.I., Toffel M.W. (2010). Quality Management and Job Quality: How the ISO 9001 Standard for Quality Management Systems Affects Employees and Employers. Management Science 56(6):978-996
firm death (disappearance) rate	0.5% of adopters vs 7.1% of matched controls disappeared by 2003	622 matched pairs of California firms	US	Working paper	Levine D.I., Toffel M.W. (2010). Quality Management and Job Quality: How the ISO 9001 Standard for Quality Management Systems Affects Employees and Employers. Management Science 56(6):978-996
wastage and rejection	average wastage & rejection fell from 9.34% to 6.39% after ISO 9000 (machine breakdown 1.60% to 0.51%)	survey of Indian manufacturing organisations, before vs after ISO 9000:2000	IN	Case study	Maddulety K. (2010). A research study on impact of ISO 9000:2000 on selected key performance indicators of manufacturing organizations in India. Summer Internship Society journal II(1)

Training in India for ISO 9001 quality management system
Provider	Programme	Format	Duration	Fee	Subsidy	Cities	For
National Productivity Council (NPC) - e-LEAP	ISO-9001:2015 and IATF 16949:2016 Quality Management System	online	self-paced	Rs.2000		online	quality head
Ministry of MSME - MSME Sustainable (ZED) Certification Scheme (implemented by QCI)	ZED Certification (Bronze/Silver/Gold) + Gap Analysis & Handholding	certification	Bronze online self-certification; Silver/Gold with site assessment	Registration free	Subsidy on certification cost per scheme guidelines; handholding (consultancy) support up to Rs.2 lakh; free ZED certification for women-owned MSMEs	pan-India	owner/MD, plant head, quality head
Indian Statistical Institute - SQC & OR Unit Hyderabad	In-plant training programmes (top management / middle managers / shopfloor supervisors & operators)	in-plant	1-3 days top mgmt; 3-5 days managers; 2-3 days shopfloor			at client plant	owner/MD, plant head, supervisor, quality head, operator
Quality Council of India - National Board for Quality Promotion (NBQP), Training & Capacity Building Division	Quality awareness workshops and tailored training / capacity building	in-plant	tailored			pan-India	owner/MD, quality head
IMTMA Training (Indian Machine Tool Manufacturers' Association)	Internal Auditor Course - ISO 9001:2015	classroom	2 days	Rs. 4999/- +18% GST	Group concession 10% for 3-5, 20% for 6+ delegates (as printed on IMTMA pages)	Gurugram	quality head

Jidoka and andon (stop-the-line signalling)

Lean/TPS

Also known as: Autonomation; andon cord; andon light; line-stop; digital andon
Family: Lean/TPS
What it fixes: Machine or operator stops at the first abnormality and lights a signal; help comes fast and the cause is fixed before more bad parts are made
Symptoms on the floor: Workers wait for material, cranes or instructions; Too much rejection and rework; Machines break down again and again; I don't know how much my machines actually run; The same problem comes back every month
Measure before and after: Response time from signal to help arriving (minutes); unscheduled downtime hours; number of andon calls by reason; defects escaping to next stage; OEE
How to get the baseline: For 2 weeks supervisor logs every stoppage in a register: time stopped, time help arrived, time restarted, reason; or stopwatch sample of response times
Who leads it: plant head
Plant size (employees): 200-1000, 1000+
Industries: any plant
Do first: Standardised work, Visual management
Works well with: Poka-yoke (mistake-proofing), IoT machine monitoring, OEE measurement (loss tracking), Daily management (tiered daily meetings), Automated visual inspection (machine vision / AI camera)
Common pitfall: If nobody responds to the light quickly, or operators are blamed for stopping, people stop pulling the cord and the system dies
Last verified: 17 Oct 2026

Published results for Jidoka and andon (stop-the-line signalling)
Metric	Result	Context	Country	Source type	Citation
unscheduled downtime	55.55% reduction in unscheduled downtime and 4% increase in OEE (IoT andon + BI dashboard)	genset manufacturing business, single case		Peer-reviewed study	Narassima M.S., Gunasekaran A., Thenarasu M., Gedam V.V., Karuppiah K. (2026). An integrated Lean-IoT-business intelligence model of IS success on the manufacturing shop floor. Production Planning & Control, 1-24
response time to andon call	about 24 min average to about 5 min within four months (vendor states 75%)	medical device plant, Vandergrift PA, digital andon software	US	Vendor-reported	SmartSights (n.d.). Cook Medical: Next-Generation Andon Case Study. Vendor case study

Training in India for Jidoka and andon (stop-the-line signalling)
Provider	Programme	Format	Duration	Fee	Subsidy	Cities	For
IMTMA Training (Indian Machine Tool Manufacturers' Association)	Implementing Toyota Production System - Why, What and How	classroom	2 days	Rs. 4999/- +18% GST	Group concession 10% for 3-5, 20% for 6+ delegates (as printed on IMTMA pages)	Bengaluru	plant head, shop manager

Just-in-Time (JIT) production and purchasing

Lean/TPS

Also known as: JIT; just in time; JIT manufacturing; JIT purchasing; JIT supply
Family: Lean/TPS
What it fixes: Make and buy only what the next step needs, when it needs it, so stock, waiting and lead time shrink across the plant
Symptoms on the floor: Raw material runs out - or too much is lying around; An order takes weeks to go through the plant; Half-finished parts pile up between machines; Dispatch dates keep slipping; The floor is cluttered, no space to grow
Measure before and after: Inventory days (RM, WIP, FG) or inventory turns; order lead time door-to-door; on-time delivery %; stock-outs per month
How to get the baseline: Monthly stock register / ERP closing stock divided by daily consumption = days of stock; tag 10 orders and log date in and date dispatched in a register to get lead time
Who leads it: owner/MD
Plant size (employees): 50-200, 200-1000, 1000+
Industries: any plant
Do first: 5S (workplace organisation), SMED (quick changeover), TPM (Total Productive Maintenance), Kanban (pull system)
Works well with: Kanban (pull system), Heijunka (production levelling), In-plant milk-run with supermarket, Supplier development, Vendor-managed inventory (VMI), Value Stream Mapping, Takt time planning
Common pitfall: Cutting stock before setups, breakdowns and supplier reliability are fixed simply turns hidden problems into line stoppages and missed dispatches
Last verified: 17 Oct 2026

Published results for Just-in-Time (JIT) production and purchasing
Metric	Result	Context	Country	Source type	Citation
inventory level	inventories came down by 47%; lead times down 28% (JIT-Kanban with digital twin, 12 SMEs)	12 small and medium automotive parts manufacturers, 30-month action research; JIT-Kanban combined with cloud digital twin	SA	Peer-reviewed study	Aldouri SNM (2025). Digital Twin-Enabled Just-In-Time and Kanban Implementation Framework for Industry 4.0 Transformation in SMEs. International Journal of Industrial Engineering and Management 16(4):339-358

Training in India for Just-in-Time (JIT) production and purchasing
Provider	Programme	Format	Duration	Fee	Subsidy	Cities	For
National Productivity Council (NPC) - e-LEAP	NRLL Series M6 - Lean Tools for Supply Chain Management: JIT and Kanban	online	self-paced	Rs.1500		online	shop manager, supervisor
National Productivity Council (NPC) - e-LEAP	Rapid Lean Learning Course	online	self-paced	Rs.7080		online	plant head, shop manager
Ministry of MSME - MSME Competitive (LEAN) Scheme (implementing agencies QCI, NPC)	MSME Competitive LEAN Scheme: Basic / Intermediate / Advanced levels	handholding/consulting	Basic ~2 months (self-paced LMS + pledge); Intermediate/Advanced with lean consultant	Basic free	Govt bears 90% of lean-consultant fee for Intermediate/Advanced (per scheme guidelines)	pan-India (online LMS + in-plant)	owner/MD, plant head, shop manager, supervisor
IMTMA Training (Indian Machine Tool Manufacturers' Association)	Implementing Toyota Production System - Why, What and How	classroom	2 days	Rs. 4999/- +18% GST	Group concession 10% for 3-5, 20% for 6+ delegates (as printed on IMTMA pages)	Bengaluru	plant head, shop manager

Kaizen (continuous improvement)

Lean/TPS

Also known as: kaizen events; kaizen blitz; suggestion system
Family: Lean/TPS
What it fixes: Small, frequent improvements made by the people who do the work, measured every week
Symptoms on the floor: The same problem comes back every month; Improvement drives start well and fade out; Output swings shift to shift; Overtime keeps rising, output does not; Too many people for the output we get
Measure before and after: Cycle time per station; output per person-hour; number of kaizens implemented per month
How to get the baseline: Time 20 cycles per station on the target line; count implemented ideas over the last 3 months
Who leads it: shop manager
Plant size (employees): 50-200, 200-1000, 1000+
Industries: any plant
Do first: 5S (workplace organisation)
Works well with: Value Stream Mapping, Standardised work, 5S (workplace organisation)
Common pitfall: Without a weekly review rhythm the idea board dies in 2-3 months
Government support in India: Kaizen is in MSME Lean scheme curriculum; ZED parameter Daily Works Management
Last verified: 17 Oct 2026

Published results for Kaizen (continuous improvement)
Metric	Result	Context	Country	Source type	Citation
cycle time; productivity	cycle time 80 -> 75 s; productivity +6.7%; line efficiency +2.9%	automotive assembly line	IN	Peer-reviewed study	Sangwa N.R., Sangwan K.S. (2020). Continuous Kaizen Implementation to Improve Leanness: A Case Study of Indian Automotive Assembly Line. Springer, Sustainable Production, Life Cycle Engineering and Management
productivity; lead time	productivity +57.15%; lead time -69.47%	small-scale enterprise, kaizen chosen via VSM	IN	Peer-reviewed study	Kumar S., Dhingra A.K., Singh B. (2018). Kaizen Selection for Continuous Improvement through VSM-Fuzzy-TOPSIS in Small-Scale Enterprises: An Indian Case Study. Advances in Fuzzy Systems

Training in India for Kaizen (continuous improvement)
Provider	Programme	Format	Duration	Fee	Subsidy	Cities	For
National Productivity Council (NPC) - e-LEAP	Kaizen	online	self-paced	Rs.250		online	shop manager, supervisor, operator
National Productivity Council (NPC) - e-LEAP	Rapid Lean Learning Course	online	self-paced	Rs.7080		online	plant head, shop manager
National Productivity Council (NPC)	Operational Excellence in Manufacturing: Lean, TPM & Industry 4.0	classroom	5 days			Puri	plant head, shop manager, maintenance head
Ministry of MSME - MSME Competitive (LEAN) Scheme (implementing agencies QCI, NPC)	MSME Competitive LEAN Scheme: Basic / Intermediate / Advanced levels	handholding/consulting	Basic ~2 months (self-paced LMS + pledge); Intermediate/Advanced with lean consultant	Basic free	Govt bears 90% of lean-consultant fee for Intermediate/Advanced (per scheme guidelines)	pan-India (online LMS + in-plant)	owner/MD, plant head, shop manager, supervisor
CII Institute of Quality	Lean Six Sigma hand-holding & implementation; cost-saving projects; advanced programmes for senior management	handholding/consulting	engagement-based			Bengaluru (pan-India delivery)	owner/MD, plant head, quality head
CII Naoroji Godrej Centre of Manufacturing Excellence (CII CME), Mumbai	In-house programmes for companies (curated knowledge modules / coaching): lean, 5S, Kaizen & 3M, cost reduction, safety	in-plant	tailored			Mumbai (delivered pan-India)	plant head, shop manager, supervisor
Quality Circle Forum of India (QCFI)	40th National Convention on Quality Concepts (NCQC 2026) - case-study competitions on QC, Kaizen, 5S, Lean, SMED, Poka-yoke	classroom	4 days			Bhubaneswar	shop manager, supervisor, operator
Quality Circle Forum of India (QCFI) - chapters	Chapter Conventions on Quality Concepts (CCQC 2026) - Tirupati, Nagpur, Pune (virtual)	classroom	1-2 days			Tirupati; Nagpur; Pune (virtual)	supervisor, operator
IMTMA Training (Indian Machine Tool Manufacturers' Association)	World Class Manufacturing - What, Why and How; Tools and Techniques	classroom	2 days			Bengaluru	owner/MD, plant head
ACMA Centre for Technology (ACT) - ACMA Cluster Programme	ACMA Cluster Programme (Foundation QCD cluster, Lean, TPM, Zero-Defect, MFCA, Low-Cost Automation, Energy Efficiency, Safety, Digital)	handholding/consulting	multi-month cluster (duration not printed in source)			auto-component hubs (Pune, NCR, Chennai etc.)	owner/MD, plant head, shop manager
ACMA (Automotive Component Manufacturers Association of India)	E-learning: Material Flow Cost Accounting (MFCA) incl. MFCA in Kaizen and supply chain	online	self-paced modules			online	plant head, quality head
ACMA regional chapters	Regional Kaizen Competition; Poka Yoke & SMED Competition (ACMA North / West)	classroom	1 day			NCR / Uttarakhand; Pune	shop manager, supervisor, operator

Kanban (pull system)

Lean/TPS

Also known as: pull production; supermarket; two-bin system
Family: Lean/TPS
What it fixes: Make or move parts only when the next step signals it needs them, so stock between machines stays small and fixed
Symptoms on the floor: Half-finished parts pile up between machines; Raw material runs out - or too much is lying around; Dispatch dates keep slipping; Workers wait for material, cranes or instructions
Measure before and after: WIP units/value between stations; raw-material days of stock; stockout count per month; replenishment time
How to get the baseline: Count WIP at each buffer twice a day for 2 weeks; list stockouts from the store register
Who leads it: shop manager
Plant size (employees): 50-200, 200-1000, 1000+
Industries: Auto and auto components, Machining and engineering, Electrical and electronics, Assembly lines, Plastics and rubber
Do first: 5S (workplace organisation), SMED (quick changeover)
Works well with: Value Stream Mapping, SMED (quick changeover), Heijunka (production levelling)
Common pitfall: Fails with long changeovers or unreliable machines - fix those first
Government support in India: JIT-Kanban is in MSME Lean scheme curriculum
Last verified: 17 Oct 2026

Published results for Kanban (pull system)
Metric	Result	Context	Country	Source type	Citation
WIP; kanban cards; replenishment time	WIP -27.79% (~20,000 units); cards 48 -> 38; replenishment 6.94 -> 6.53 days	bearing manufacturer (authors from Pune)	IN	Peer-reviewed study	Ukey K., Gajghate S.S., Kumar S., Kumar Behera A., Majumder H. (2025). Execution of Pull System and Constant Work-in-Process Using Kanban System - A Case Study. Engineering Proceedings (MDPI)
WIP between process steps	-56% (injection -> painting); -45% (painting -> dispatch)	SME, polymer automotive parts, with SMED and levelling	PT	Peer-reviewed study	Martins B. et al. (2021). Implementation of a Pull System - A Case Study of a Polymeric Production System for the Automotive Industry. Management Systems in Production Engineering 29(4):253-259

Training in India for Kanban (pull system)
Provider	Programme	Format	Duration	Fee	Subsidy	Cities	For
National Productivity Council (NPC) - e-LEAP	NRLL Series M6 - Lean Tools for Supply Chain Management: JIT and Kanban	online	self-paced	Rs.1500		online	shop manager, supervisor
National Productivity Council (NPC) - e-LEAP	Rapid Lean Learning Course	online	self-paced	Rs.7080		online	plant head, shop manager
Ministry of MSME - MSME Competitive (LEAN) Scheme (implementing agencies QCI, NPC)	MSME Competitive LEAN Scheme: Basic / Intermediate / Advanced levels	handholding/consulting	Basic ~2 months (self-paced LMS + pledge); Intermediate/Advanced with lean consultant	Basic free	Govt bears 90% of lean-consultant fee for Intermediate/Advanced (per scheme guidelines)	pan-India (online LMS + in-plant)	owner/MD, plant head, shop manager, supervisor
IMTMA Training (Indian Machine Tool Manufacturers' Association)	Materials Management and Inventory Control	classroom	2 days			Bengaluru	plant head, shop manager

Line-side kitting

Planning

Also known as: kitting; kit supply; set parts supply; SPS; set pallet; kit trolley
Family: Planning
What it fixes: Stores pre-pick all parts for one product or one job into a kit and deliver it to the station, so operators stop walking and searching
Symptoms on the floor: Workers wait for material, cranes or instructions; People waste time looking for tools, dies, gauges; Raw material runs out - or too much is lying around; The floor is cluttered, no space to grow; Small batches and many variants kill output
Measure before and after: Operator walk/search time per unit; line stoppages due to material shortage (min/shift); line-side storage area; line-side inventory value; wrong-part assembly errors
How to get the baseline: Time-study 10 cycles at one station and split out walking/searching for parts; log every line stop for missing material in a register for two weeks; measure line-side rack area
Who leads it: shop manager
Plant size (employees): 200-1000, 1000+
Industries: Auto and auto components, Machining and engineering, Electrical and electronics, Assembly lines
Do first: 5S (workplace organisation), ABC/XYZ inventory classification, Standardised work
Works well with: In-plant milk-run with supermarket, Kanban (pull system), Just-in-Time (JIT) production and purchasing, Poka-yoke (mistake-proofing), Spaghetti diagram (travel mapping), Plant layout redesign (Systematic Layout Planning)
Common pitfall: Kitting only some of the parts may not cut operator fetching time and adds picking work in stores (Hanson & Medbo 2012)
Last verified: 17 Oct 2026

Published results for Line-side kitting
Metric	Result	Context	Country	Source type	Citation
operator walk time; line side storage space; inventory value	operator walk time -78.3%; line side storage space -69%; inventory value -54.3%; line side replenishment -29.6%	excavator engine assembly line, Bangalore (with Caterpillar logistics); continuous supply replaced by lean kitting	IN	Case study	Ramappa R., Sharath Kumar K.M., Nairy A.K. (2013). Improvement of Material Feeding System for an Excavator Assembly Line through Lean Principles. SASTECH Journal 12(2):27-
material flow lead time	material flow lead time -28.55%; non value added activities -11.91%	automotive booster assembly line, mixed-model plant; continuous supply replaced by lean supply kitting (Pune authors)	IN	Case study	Karandikar V., Sane S., Pulkurte R. (2014). Improvement in Line feeding System in Assembly Plant using Lean Manufacturing Techniques. International Journal of Current Engineering and Technology 4(3):1594-1599

Training in India for Line-side kitting
Provider	Programme	Format	Duration	Fee	Subsidy	Cities	For
IIM Mumbai - Open MDP	Warehouse Design & Automation	classroom	3 days			Mumbai	plant head

Measurement System Analysis (Gauge R&R)

Measurement

Also known as: gauge R&R; GRR; MSA; gauge repeatability and reproducibility; attribute agreement analysis
Family: Measurement
What it fixes: Check whether your gauges and inspectors give the same reading on the same part before trusting any quality data
Symptoms on the floor: Customers complain or send material back; Too much rejection and rework; Quality depends on one experienced operator; The same problem comes back every month
Measure before and after: %GRR (of study variation or tolerance); number of distinct categories (ndc); inspector agreement % for visual checks
How to get the baseline: 10 parts x 2-3 inspectors x 2-3 repeat readings with the shop's own gauge, blind order, calculate %GRR in Excel/AIAG sheet
Who leads it: quality head
Plant size (employees): 50-200, 200-1000, 1000+
Industries: Auto and auto components, Machining and engineering, Forging, casting and sheet metal, Plastics and rubber
Works well with: Statistical Process Control (SPC), Design of Experiments (DOE / Taguchi), Six Sigma (DMAIC), ISO 9001 quality management system, Process FMEA (PFMEA)
Common pitfall: Study is run once for the customer audit and filed; high GRR is never traced to gauge, fixture or inspector method and fixed
Last verified: 17 Oct 2026

Published results for Measurement System Analysis (Gauge R&R)
Metric	Result	Context	Country	Source type	Citation
Total Gage R&R	Total Gage R&R from 67.80% to 10.11% after adding a Go/No-Go pin	automotive stamped part Reinf BK6, 2 operators x 10 parts x 3 repeats	ID	Case study	Sumasto F., Nugroho Y.A., Purwojatmiko B.H., Wirandi M., Imansuri F., Aisyah S. (2023). Implementation of Measurement System Analysis to Reduce Measurement Process Failures on Part Reinf BK6. IJIEM - Indonesian Journal of Industrial Engineering and Management 4(2):212

Training in India for Measurement System Analysis (Gauge R&R)
Provider	Programme	Format	Duration	Fee	Subsidy	Cities	For
National Productivity Council (NPC) - e-LEAP	ISO-9001:2015 and IATF 16949:2016 Quality Management System	online	self-paced	Rs.2000		online	quality head
Central Tool Room & Training Centre (CTTC) Bhubaneswar - MSME Technology Centre	Jr. Technician - Inspection & Quality Control (NSQF)	classroom	6 months / 600 hrs	₹ 22,000/-	No fee for SC/ST (NSQF courses)	Bhubaneswar	supervisor, operator
Indian Statistical Institute - SQC & OR Unit Hyderabad	In-plant training programmes (top management / middle managers / shopfloor supervisors & operators)	in-plant	1-3 days top mgmt; 3-5 days managers; 2-3 days shopfloor			at client plant	owner/MD, plant head, supervisor, quality head, operator
IMTMA Training (Indian Machine Tool Manufacturers' Association)	Fundamentals of APQP and Implementation of PPAP	classroom	2 days			Hosur	quality head
IMTMA Training (Indian Machine Tool Manufacturers' Association)	Measurement System Analysis (MSA)	classroom	2 days	Rs. 4999/- +18% GST	Group concession 10% for 3-5, 20% for 6+ delegates (as printed on IMTMA pages)	Pune	supervisor, quality head

OEE measurement (loss tracking)

Measurement

Also known as: Overall Equipment Effectiveness; machine utilisation tracking; downtime logging
Family: Measurement
What it fixes: Measure how much of planned time each machine really makes good parts, and which losses eat the rest
Symptoms on the floor: I don't know how much my machines actually run; Overtime keeps rising, output does not; Machines run slower than they should; One machine or section always holds everyone up; Output swings shift to shift
Measure before and after: OEE = availability x performance x quality per machine; top 5 loss reasons in minutes; share of unclassified stops
How to get the baseline: Manual stop log (start, end, reason) on 2-3 critical machines for 2 weeks; count good parts per shift
Who leads it: plant head
Plant size (employees): 50-200, 200-1000, 1000+
Industries: any plant
Works well with: TPM (Total Productive Maintenance), SMED (quick changeover), Theory of Constraints (drum-buffer-rope)
Common pitfall: Almost half of losses stay unclassified unless reasons are recorded at the machine; OEE between different machines is not comparable
Government support in India: ZED parameter Measurement and Analysis
Last verified: 17 Oct 2026

Published results for OEE measurement (loss tracking)
Metric	Result	Context	Country	Source type	Citation
typical OEE level	~55% (about 20 cases); performance losses dominate	field study of manufacturing cases	SE	Peer-reviewed study (baseline, not a result)	Ljungberg O. (1998). IJOPM 18(5):495-507
typical OEE level with automatic measurement	average 65% (23 companies, 884 machines); ~half of losses unclassified	automatic OEE measurement, discrete manufacturing	SE	Peer-reviewed study (baseline, not a result)	Hedman R., Subramaniyan M., Almstrom P. (2016). Analysis of critical factors for automatic measurement of OEE. Procedia CIRP 57:128-133

Training in India for OEE measurement (loss tracking)
Provider	Programme	Format	Duration	Fee	Subsidy	Cities	For
National Productivity Council (NPC) - e-LEAP	Total Productive Maintenance (TPM): Basic Programme	online	self-paced	Rs.1200		online	shop manager, supervisor, maintenance head
National Productivity Council (NPC)	Operational Excellence in Manufacturing: Lean, TPM & Industry 4.0	classroom	5 days			Puri	plant head, shop manager, maintenance head
National Institute for MSME (NI-MSME)	Smart Production Management with AI Decision (SED/SM/4)	classroom	3 days			Hyderabad	owner/MD, plant head
CII TPM Club India (CII-IQ)	CII TPM Certificate / Excellence in Operational Technology (EOT) award & certification assessment; TPM Club membership	certification	assessment-based			pan-India	owner/MD, plant head, maintenance head
IMTMA Training (Indian Machine Tool Manufacturers' Association)	Machine Breakdown Analysis	classroom	2 days			Pune	supervisor, maintenance head
IMTMA Training (Indian Machine Tool Manufacturers' Association)	Enhancing Productivity in Grinding Operations	classroom	2 days	Rs. 4999/- +18% GST	Group concession 10% for 3-5, 20% for 6+ delegates (as printed on IMTMA pages)	Hosur	shop manager, supervisor, operator
IMTMA Training (Indian Machine Tool Manufacturers' Association)	Understanding TPM and Roadmap for Implementation of TPM	classroom	2 days			Hosur	plant head, maintenance head
IMTMA Training (Indian Machine Tool Manufacturers' Association)	Introduction to Digital Factory	classroom	2 days			Bengaluru	plant head, maintenance head
IIM Mumbai (formerly NITIE) - Open MDP	Manufacturing & Operational Excellence	online	3 days / 18 hours		Bulk discount for 5+ participants from same organisation	online	plant head, shop manager, quality head, maintenance head

Overall Labour Effectiveness (OLE)

Measurement

Also known as: OLE; labour OEE; revised OLE (ROLE); labour productivity measurement
Family: Measurement
What it fixes: Measures how much of paid worker time turns into good output: availability x performance x quality, like OEE but for people
Symptoms on the floor: Too many people for the output we get; Overtime keeps rising, output does not; Output swings shift to shift; Workers wait for material, cranes or instructions
Measure before and after: OLE % per section/shift (availability, performance, quality ratios); good pieces per paid labour-hour; overtime hours per good piece
How to get the baseline: Attendance register + shift log of waiting/idle time (material, crane, instructions), output counted against standard time per piece, rejects from QC register; compute OLE per shift for 2-4 weeks
Who leads it: plant head
Plant size (employees): 50-200, 200-1000, 1000+
Industries: any plant
Do first: Time and motion study, Standardised work
Works well with: OEE measurement (loss tracking), Work sampling, Assembly line balancing, Skill matrix and cross-training, Daily management (tiered daily meetings), Time and motion study
Common pitfall: OLE only measures; if losses are blamed on workers instead of the waiting and rework causes behind them, numbers get gamed and nothing improves
Last verified: 17 Oct 2026

Published results for Overall Labour Effectiveness (OLE)
Metric	Result	Context	Country	Source type	Citation
Return on assets (ROA), average of 4 periods after vs 4 before introducing OLE	average ROA increased by 1.4%	Czech manufacturing company, introduction of OLE indicator	CZ	Peer-reviewed study	Brabec Z., Jacova H. (2022). Overall Labor Effectiveness as a Tool for Measuring Performance in a Given Company. ACC Journal 28(2)
EBIT per converted employee	average EBIT per converted employee increased by approximately 20,000 CZK	Czech manufacturing company, introduction of OLE indicator	CZ	Peer-reviewed study	Brabec Z., Jacova H. (2022). Overall Labor Effectiveness as a Tool for Measuring Performance in a Given Company. ACC Journal 28(2)

Pareto analysis (80/20)

Measurement

Also known as: Pareto chart; 80/20 rule; vital few
Family: Measurement
What it fixes: Rank defects or stoppages by count or cost so you fix the few causes that make most of the loss first
Symptoms on the floor: Too much rejection and rework; Machines break down again and again; The same problem comes back every month; Customers complain or send material back; I don't know how much my machines actually run
Measure before and after: Share of total rejection/downtime from the top 1-3 causes; total rejection % or downtime hours
How to get the baseline: Tally rejections or stoppages by cause from the existing rejection/breakdown register (or a check sheet for 2-4 weeks) and sort largest first
Who leads it: quality head
Plant size (employees): 50-200, 200-1000, 1000+
Industries: any plant
Works well with: Ishikawa (fishbone) cause-and-effect diagram, 5-Why root cause analysis, 8D problem solving, Six Sigma (DMAIC), OEE measurement (loss tracking), Cost of Poor Quality (COPQ) measurement
Common pitfall: Counting by frequency instead of cost/minutes lost points the team at frequent but cheap problems
Last verified: 17 Oct 2026

Published results for Pareto analysis (80/20)
Metric	Result	Context	Country	Source type	Citation
process rejection rate from dominant cause (inappropriate composition)	rejection rate 2.54% -> 0.82%; dominant cause = 84% of total rejection; unit cost -2.50%	pharmaceutical drug production; Pareto + SPC + fishbone within HACCP		Peer-reviewed study	Kharub M. (2020). Integrating the HACCP and SPC for hazard control and process improvement: a case of pharmaceutical industry. International Journal of Pharmaceutical and Healthcare Marketing 14(4):561-586

Training in India for Pareto analysis (80/20)
Provider	Programme	Format	Duration	Fee	Subsidy	Cities	For
National Productivity Council (NPC) - e-LEAP	Basic 7QC Tools	online	self-paced	Rs.250		online	supervisor, quality head, operator
Quality Circle Forum of India (QCFI) HQ	Webinar on 'Basic Statistical Analysis'	online	2 days (10 AM - 4 PM)			online	supervisor, quality head
IMTMA Training (Indian Machine Tool Manufacturers' Association)	8D Problem Solving Methodology and 7QC Tools	classroom	2 days			Gurugram	supervisor, quality head
IMTMA Training (Indian Machine Tool Manufacturers' Association)	Problem-Solving Tools for Securing our Present & Future	classroom	1 day	Rs. 2999/- +18% GST	Group concession 10% for 3-5, 20% for 6+ delegates (as printed on IMTMA pages)	Chhatrapati Sambhajinagar	shop manager, supervisor

Plant layout redesign (Systematic Layout Planning)

Lean/TPS

Also known as: facility layout planning; SLP; Muther SLP; re-layout; flow-oriented layout
Family: Lean/TPS
What it fixes: Re-arrange machines, stores and aisles in the order the material flows, using a from-to chart, so parts travel less and space frees up
Symptoms on the floor: The floor is cluttered, no space to grow; Workers wait for material, cranes or instructions; An order takes weeks to go through the plant; Half-finished parts pile up between machines; Too many people for the output we get
Measure before and after: Total material travel distance per product (m); material handling cost or trips per day; floor area used (sq m); throughput time
How to get the baseline: Draw the current plan to scale, list each product route, measure distances between stations with a tape or wheel and multiply by trips per day (from-to chart)
Who leads it: plant head
Plant size (employees): 50-200, 200-1000, 1000+
Industries: Machining and engineering, Assembly lines, Textiles and garments, Food and FMCG, Packaging and printing
Do first: Spaghetti diagram (travel mapping), Value Stream Mapping
Works well with: Cellular manufacturing (one-piece flow cells), 5S (workplace organisation), In-plant milk-run with supermarket, Line-side kitting, Workstation ergonomics
Common pitfall: Most published SLP cases are proposals on paper; the gain appears only if the layout is physically moved and the routing is then followed
Last verified: 17 Oct 2026

Published results for Plant layout redesign (Systematic Layout Planning)
Metric	Result	Context	Country	Source type	Citation
operator travel distance per standard task cycle	operator travel distance in the classification area from 25.99 m to 18.16 m (-30.13%)	mid-size frozen fruit processor (Peru); SLP layout redesign physically built ('the plant area was physically restructured to match the proposed layout'), 4-month pilot with tracked indicators.	PE	Case study	Diaz Espinoza N., Leon Berrios C.X., Tupia-De-La-Cruz E.L. (2025). Enhancing Productivity through Lean and Layout Redesign: A Case Study in the Frozen Fruit Industry in Peru. IRJEMS 4(5):217-232. doi:10.56472/25835238/IRJEMS-V4I5P131
productivity	productivity from 621 kg/h to 847 kg/h (+36.4%)	same Peruvian frozen fruit plant; layout redesign bundled with 5S, standard work and Andon, so layout share not isolated.	PE	Case study	Diaz Espinoza N., Leon Berrios C.X., Tupia-De-La-Cruz E.L. (2025). Enhancing Productivity through Lean and Layout Redesign: A Case Study in the Frozen Fruit Industry in Peru. IRJEMS 4(5):217-232. doi:10.56472/25835238/IRJEMS-V4I5P131

Training in India for Plant layout redesign (Systematic Layout Planning)
Provider	Programme	Format	Duration	Fee	Cities	For
National Productivity Council (NPC) - e-LEAP	Industrial Engineering Tools for Productivity Improvement	online	self-paced	Rs.2000	online	shop manager, supervisor
National Institute for MSME (NI-MSME)	Smart Factory Design & AI Integration: Building Future-Ready MSME Manufacturing Enterprises (SED/SM/5)	classroom	3 days		Hyderabad	owner/MD, plant head
Indian Institution of Industrial Engineering (IIIE), Navi Mumbai	Graduateship in Industrial Engineering (IE Grad) - membership-based distance examination	certification	multi-year, exam sessions (Aug 2026 session running)		distance / exam centres	shop manager, supervisor
IIM Mumbai - Open MDP	Warehouse Design & Automation	classroom	3 days		Mumbai	plant head
IIT Kanpur + IIM Calcutta + IIT Madras	PGPEX-VLM: Post Graduate Program for Executives - Visionary Leadership in Manufacturing	classroom	1 year full-time residential (incl. Japan immersion)		Kanpur / Kolkata / Chennai	plant head, shop manager

Poka-yoke (mistake-proofing)

Six Sigma/quality

Also known as: error-proofing; baka-yoke; fool-proofing
Family: Six Sigma/quality
What it fixes: A simple jig, sensor or stop that makes the wrong part or wrong step physically impossible
Symptoms on the floor: Too much rejection and rework; Customers complain or send material back; Quality depends on one experienced operator
Measure before and after: Rejections per month (or ppm) for the targeted defect; customer complaints for that defect
How to get the baseline: Pull 6 months of rejection register by defect type; pick the top repeat defect
Who leads it: quality head
Plant size (employees): 50-200, 200-1000, 1000+
Industries: Auto and auto components, Machining and engineering, Electrical and electronics, Assembly lines, Pharma and medical devices, Packaging and printing
Works well with: Six Sigma (DMAIC), Standardised work
Common pitfall: Fixes one defect at a time; needs a defect register to choose targets
Government support in India: Poka-yoke is in MSME Lean scheme curriculum
Last verified: 17 Oct 2026

Published results for Poka-yoke (mistake-proofing)
Metric	Result	Context	Country	Source type	Citation
scrap rate; OEE	scrap 1.18% -> 0.56% (-52.5%); OEE 85% -> 90%	CNC turning of automotive shafts, low-cost mechanical device	PT	Peer-reviewed study	Alcacer V., Costa J., Ferreira R., Mendes D. (2026). Mechanical error-proofing in CNC turning: industrial validation of a Poka-Yoke device for scrap reduction. Production (SciELO)
monthly rejections	12-56 per month (Jun-Dec 2016) -> 0 (Jan-Jun 2017)	horn assembly line, Coimbatore	IN	Case study	Premanand N., Kannan V., Sangeetha P., Umamaheswari S. (2018). A Study on Implementation of Poka-Yoke Technique in Improving the Operational Performance by Reducing the Rejection Rate in the Assembly Line. Int. J. Pure and Applied Mathematics 119(17):2177-2191

Training in India for Poka-yoke (mistake-proofing)
Provider	Programme	Format	Duration	Fee	Subsidy	Cities	For
National Productivity Council (NPC) - e-LEAP	Rapid Lean Learning Course	online	self-paced	Rs.7080		online	plant head, shop manager
Ministry of MSME - MSME Competitive (LEAN) Scheme (implementing agencies QCI, NPC)	MSME Competitive LEAN Scheme: Basic / Intermediate / Advanced levels	handholding/consulting	Basic ~2 months (self-paced LMS + pledge); Intermediate/Advanced with lean consultant	Basic free	Govt bears 90% of lean-consultant fee for Intermediate/Advanced (per scheme guidelines)	pan-India (online LMS + in-plant)	owner/MD, plant head, shop manager, supervisor
Quality Circle Forum of India (QCFI)	40th National Convention on Quality Concepts (NCQC 2026) - case-study competitions on QC, Kaizen, 5S, Lean, SMED, Poka-yoke	classroom	4 days			Bhubaneswar	shop manager, supervisor, operator
IMTMA Training (Indian Machine Tool Manufacturers' Association)	Implementing Toyota Production System - Why, What and How	classroom	2 days	Rs. 4999/- +18% GST	Group concession 10% for 3-5, 20% for 6+ delegates (as printed on IMTMA pages)	Bengaluru	plant head, shop manager
ACMA Centre for Technology (ACT) - ACMA Cluster Programme	ACMA Cluster Programme (Foundation QCD cluster, Lean, TPM, Zero-Defect, MFCA, Low-Cost Automation, Energy Efficiency, Safety, Digital)	handholding/consulting	multi-month cluster (duration not printed in source)			auto-component hubs (Pune, NCR, Chennai etc.)	owner/MD, plant head, shop manager
ACMA regional chapters	Regional Kaizen Competition; Poka Yoke & SMED Competition (ACMA North / West)	classroom	1 day			NCR / Uttarakhand; Pune	shop manager, supervisor, operator

Predictive maintenance (condition monitoring)

TPM

Also known as: PdM; condition-based maintenance; CBM; vibration analysis; thermography; oil analysis; ultrasound
Family: TPM
What it fixes: Measure machine health (vibration, heat, oil) on a route and repair only when readings show a fault is starting
Symptoms on the floor: Machines break down again and again; I don't know how much my machines actually run; Machines run slower than they should
Measure before and after: Unplanned downtime hours/month on critical machines; number of breakdowns; MTBF; maintenance cost per month; share of planned vs emergency jobs
How to get the baseline: Breakdown register for the last 6-12 months on the 10-20 most critical machines (date, machine, hours lost, cause, spares cost); count emergency vs planned jobs from maintenance log
Cost: Much of the equipment requires cost in excess of $50,000
Who leads it: maintenance head
Plant size (employees): 200-1000, 1000+
Industries: any plant
Do first: Preventive (planned) maintenance, CMMS / digital maintenance log
Works well with: Reliability-centred maintenance (RCM), TPM (Total Productive Maintenance), IoT machine monitoring, OEE measurement (loss tracking), Autonomous maintenance, Energy management system and energy audits, Compressed-air leak detection and repair
Common pitfall: Buying sensors or instruments before ranking critical machines and training someone to read the data turns into alarms nobody acts on
Last verified: 17 Oct 2026

Published results for Predictive maintenance (condition monitoring)
Metric	Result	Context	Country	Source type	Citation
breakdowns eliminated	Elimination of breakdowns: 70% to 75%; reduction in downtime 35% to 45%; reduction in maintenance costs 25% to 30% (industrial averages from independent surveys)	industrial facilities starting a functional predictive maintenance programme; survey averages quoted by US DOE FEMP	US	Case study	US DOE Federal Energy Management Program (2010). Operations & Maintenance Best Practices: A Guide to Achieving Operational Efficiency, Release 3.0, Ch.5 Types of Maintenance Programs. PNNL for US DOE FEMP
unplanned downtime	30% unplanned downtime reduced; 12% total maintenance cost decreased	rotating equipment, one aluminium processing plant, vibration + shock-pulse monitoring		Peer-reviewed study	Gomes G., Ungureanu N.S., Kalácska G. (2025). Optimizing predictive maintenance for maintenance management development: a hybrid approach using vibration and shock-pulse monitoring. Review of Management and Economic Engineering 24(4):260-271

Training in India for Predictive maintenance (condition monitoring)
Provider	Programme	Format	Duration	Fee	Subsidy	Cities	For
National Productivity Council (NPC) - e-LEAP	Maintenance - Objectives, Types and Functions	online	self-paced	Rs.250		online	supervisor, maintenance head
IMTMA Training (Indian Machine Tool Manufacturers' Association)	Care for Machine Tool Spindles - Systematic Approach for Spindle Maintenance	classroom	3 days	Rs. 6999/- +18% GST	Group concession 10% for 3-5, 20% for 6+ delegates (as printed on IMTMA pages)	Bengaluru	maintenance head
IMTMA Training (Indian Machine Tool Manufacturers' Association)	Effective Maintenance Towards Zero Down Time (ZDT) - Electrical Aspects of CNC Machines	classroom	3 days	Rs. 6999/- +18% GST	Group concession 10% for 3-5, 20% for 6+ delegates (as printed on IMTMA pages)	Bengaluru	maintenance head

Preventive (planned) maintenance

TPM

Also known as: planned maintenance; PM; time-based maintenance; PM pillar; scheduled maintenance
Family: TPM
What it fixes: Service machines on a fixed calendar (oil, filters, belts, wear parts) instead of waiting for them to break down
Symptoms on the floor: Machines break down again and again; The same problem comes back every month; Dispatch dates keep slipping; Machines run slower than they should; I don't know how much my machines actually run
Measure before and after: Breakdowns per month; breakdown hours; MTBF; MTTR; maintenance cost per machine; PM plan compliance %
How to get the baseline: Breakdown register per machine for last 3-6 months: date, stop time, restart time, cause, parts; compute MTBF and MTTR in a sheet
Typical duration: 26 to 39 weeks
Who leads it: maintenance head
Plant size (employees): 50-200, 200-1000, 1000+
Industries: Auto and auto components, Machining and engineering, Forging, casting and sheet metal, Electrical and electronics, Plastics and rubber, Food and FMCG, Process industries, Packaging and printing
Works well with: Autonomous maintenance, TPM (Total Productive Maintenance), CMMS / digital maintenance log, Predictive maintenance (condition monitoring), Reliability-centred maintenance (RCM), OEE measurement (loss tracking), 5-Why root cause analysis
Common pitfall: A PM calendar that production keeps postponing for urgent orders turns into paper, and breakdowns return
Last verified: 17 Oct 2026

Published results for Preventive (planned) maintenance
Metric	Result	Context	Country	Source type	Citation
breakdowns (number), year 3 of TPM	25-40% drop in year 1 (model machines), 40-60% in year 2, 70-80% in year 3	~70 TPM-practicing companies (domestic and overseas), PM pillar together with JH; auto, ancillary, FMCG, appliances, packing, plastic, refinery, tyres, steel	IN	Case study	Raj B.K. (2021). Benefits of Planned Maintenance - An Analysis of Equipment Failure & Maintenance Costs in 70 TPM Practicing Companies. CII Institute of Quality, Article TPM/2021/02
MTBF	indicative tangible benefits: 80% breakdown reduction, 200% MTBF increase, 35% maintenance cost reduction, 31% MTTR reduction	~70 TPM-practicing companies (domestic and overseas), CII benchmark	IN	Case study	Raj B.K. (2021). Benefits of Planned Maintenance - An Analysis of Equipment Failure & Maintenance Costs in 70 TPM Practicing Companies. CII Institute of Quality, Article TPM/2021/02
breakdowns due to failure (CNC machining centres; lathes -23%)	breakdowns -23% on CNC lathes, -38% on CNC machining centres; OEE +5%	clutches and hydraulic controls manufacturer; CNC lathe and machining-centre cells; AM procedures + PM plans	PT	Peer-reviewed study	Pinto G., Silva F.J.G., Baptista A., Fernandes N.O., Casais R., Carvalho C. (2020). TPM implementation and maintenance strategic plan - a case study. Procedia Manufacturing 51:1423-1430

Training in India for Preventive (planned) maintenance
Provider	Programme	Format	Duration	Fee	Subsidy	Cities	For
National Productivity Council (NPC) - e-LEAP	Total Productive Maintenance (TPM): Basic Programme	online	self-paced	Rs.1200		online	shop manager, supervisor, maintenance head
National Productivity Council (NPC) - e-LEAP	Maintenance - Objectives, Types and Functions	online	self-paced	Rs.250		online	supervisor, maintenance head
National Productivity Council (NPC) - e-LEAP	Preventive Maintenance	online	self-paced	Rs.250		online	supervisor, maintenance head, operator
Central Tool Room & Training Centre (CTTC) Bhubaneswar - MSME Technology Centre	Sr. Technician - Machine Maintenance & Automation (NSQF)	classroom	6 months / 600 hrs	₹ 33,810/-	No fee for SC/ST (NSQF courses)	Bhubaneswar	maintenance head, operator
CII TPM Club India (CII-IQ)	CII TPM Certificate / Excellence in Operational Technology (EOT) award & certification assessment; TPM Club membership	certification	assessment-based			pan-India	owner/MD, plant head, maintenance head
IMTMA Training (Indian Machine Tool Manufacturers' Association)	Care for Machine Tool Spindles - Systematic Approach for Spindle Maintenance	classroom	3 days	Rs. 6999/- +18% GST	Group concession 10% for 3-5, 20% for 6+ delegates (as printed on IMTMA pages)	Bengaluru	maintenance head
IMTMA Training (Indian Machine Tool Manufacturers' Association)	Machine Breakdown Analysis	classroom	2 days			Pune	supervisor, maintenance head
IMTMA Training (Indian Machine Tool Manufacturers' Association)	Maintenance and Troubleshooting of Hydraulics and Pneumatics Systems	classroom	2 days	Rs. 4999/- +18% GST	Group concession 10% for 3-5, 20% for 6+ delegates (as printed on IMTMA pages)	Ghaziabad	maintenance head, operator
IMTMA Training (Indian Machine Tool Manufacturers' Association)	Understanding TPM and Roadmap for Implementation of TPM	classroom	2 days			Hosur	plant head, maintenance head
IMTMA Training (Indian Machine Tool Manufacturers' Association)	Effective Maintenance Towards Zero Down Time (ZDT) - Electrical Aspects of CNC Machines	classroom	3 days	Rs. 6999/- +18% GST	Group concession 10% for 3-5, 20% for 6+ delegates (as printed on IMTMA pages)	Bengaluru	maintenance head

Process FMEA (PFMEA)

Six Sigma/quality

Also known as: FMEA; failure mode and effects analysis; RPN; action priority; AIAG-VDA FMEA
Family: Six Sigma/quality
What it fixes: List step by step how each process can go wrong, score the risk, and fix the worst ones before they reach the customer
Symptoms on the floor: Customers complain or send material back; Too much rejection and rework; The same problem comes back every month; Machines break down again and again
Measure before and after: RPN or action priority of top failure modes; defect rate / ppm; customer complaints per month; breakdown minutes
How to get the baseline: Team walks the process flow, lists failure modes, scores severity/occurrence/detection 1-10 using the complaint and rejection registers for occurrence
Who leads it: quality head
Plant size (employees): 50-200, 200-1000, 1000+
Industries: Auto and auto components, Machining and engineering, Electrical and electronics, Assembly lines, Pharma and medical devices
Do first: Value Stream Mapping
Works well with: Poka-yoke (mistake-proofing), 8D problem solving, Statistical Process Control (SPC), Measurement System Analysis (Gauge R&R), Six Sigma (DMAIC), 5-Why root cause analysis, Ishikawa (fishbone) cause-and-effect diagram, ISO 9001 quality management system
Common pitfall: FMEA is written once as a customer PPAP document and never updated when complaints or new failures appear
Last verified: 17 Oct 2026

Published results for Process FMEA (PFMEA)
Metric	Result	Context	Country	Source type	Citation
overall defect rate	overall defect rate was reduced by 87.2%	medical device manufacturer, FMEA-based integrated framework	MY	Peer-reviewed study	Liew C.F., Prakash J., Ong K.S. (2019). An FMEA-based integrated framework to quantify and improve operational performance in advanced manufacturing environments: a case study. International Journal of Productivity and Quality Management 28(3):318-339
OEE	OEE from 87% to 92%; breakdown time 111 to 85 min/month	cylinder block machining line, automotive, FMEA within DMAIC	ID	Peer-reviewed study	Rozak A., Jaqin C., Hasbullah H. (2020). Increasing Overall Equipment Effectiveness in Automotive Company Using DMAIC and FMEA Method. Journal Europeen des Systemes Automatises 53(1):55-60

Training in India for Process FMEA (PFMEA)
Provider	Programme	Format	Duration	Fee	Cities	For
National Productivity Council (NPC) - e-LEAP	ISO-9001:2015 and IATF 16949:2016 Quality Management System	online	self-paced	Rs.2000	online	quality head
National Productivity Council (NPC) - e-LEAP	Hazard Identification and Risk Analysis	online	self-paced	Rs.250	online	shop manager, supervisor
IMTMA Training (Indian Machine Tool Manufacturers' Association)	Fundamentals of APQP and Implementation of PPAP	classroom	2 days		Hosur	quality head
IMTMA Training (Indian Machine Tool Manufacturers' Association)	How to become an effective FMEA Practitioner (AIAG & VDA)	classroom	2 days		Hosur	quality head

Quality circles

People/standard work

Also known as: Quality control circles; QCC; QC circles; Gemba circles (QCFI)
Family: People/standard work
What it fixes: Small groups of shop-floor workers meet weekly, pick a problem in their own area and solve it with simple QC tools
Symptoms on the floor: Too much rejection and rework; The same problem comes back every month; Improvement drives start well and fade out; Quality depends on one experienced operator; Customers complain or send material back
Measure before and after: Rejection/rework % on the circle's chosen problem; inspection time; number of problems closed per circle per year; circle meeting attendance
How to get the baseline: Circle members keep a daily check sheet of defects by type at their station for 2-4 weeks, then make a Pareto chart before starting
Who leads it: quality head
Plant size (employees): 200-1000, 1000+
Industries: any plant
Do first: 5S (workplace organisation)
Works well with: Kaizen (continuous improvement), Employee suggestion system, Pareto analysis (80/20), Ishikawa (fishbone) cause-and-effect diagram, 5-Why root cause analysis, A3 problem solving, Daily management (tiered daily meetings)
Common pitfall: Circles fade when management stops attending presentations and approving their proposals quickly
Last verified: 17 Oct 2026

Published results for Quality circles
Metric	Result	Context	Country	Source type	Citation
no-load rework	no-load rework reduced from 16% to 2% within five months	compressor manufacturer, no-load noise rejection	IN	Peer-reviewed study	Mittal A., Gupta P., Kumar V., Chan C.C.K. (2023). The application of quality control circle to improve the PQCDSM quality parameters: a case study. International Journal of Productivity and Quality Management 40(1):102-119
inspection time	inspection time reduced by 50%	compressor manufacturer	IN	Peer-reviewed study	Mittal A., Gupta P., Kumar V., Chan C.C.K. (2023). The application of quality control circle to improve the PQCDSM quality parameters: a case study. International Journal of Productivity and Quality Management 40(1):102-119
defects per unit (rear combination lamp gap)	defect rates per unit decreased from 0.130 to 0.004	automotive assembly, MPV rear lamp gap; national (Sinta) journal	ID	Case study	Setiawan S., Kurnia H., Nasihardani D., Putri H.S.D. (2025). Implementation of QCC method to reduce defects in rear combination lamp gaps on MPV vehicles in the automotive industry. Operations Excellence: Journal of Applied Industrial Engineering 17(1)

Training in India for Quality circles
Provider	Programme	Format	Duration	Fee	Cities	For
National Productivity Council (NPC) - e-LEAP	Quality, Waste Minimization & Safety Circles	online	self-paced	Rs.250	online	supervisor, operator
National Productivity Council (NPC) - e-LEAP	TQM Implementation for Business Excellence	online	self-paced	Rs.2000	online	owner/MD, plant head, quality head
Quality Council of India - National Board for Quality Promotion (NBQP), Training & Capacity Building Division	Quality awareness workshops and tailored training / capacity building	in-plant	tailored		pan-India	owner/MD, quality head
Quality Circle Forum of India (QCFI)	40th National Convention on Quality Concepts (NCQC 2026) - case-study competitions on QC, Kaizen, 5S, Lean, SMED, Poka-yoke	classroom	4 days		Bhubaneswar	shop manager, supervisor, operator
Quality Circle Forum of India (QCFI) - chapters	Chapter Conventions on Quality Concepts (CCQC 2026) - Tirupati, Nagpur, Pune (virtual)	classroom	1-2 days		Tirupati; Nagpur; Pune (virtual)	supervisor, operator

Quick Response Manufacturing (QRM) with POLCA

Planning

Also known as: QRM; POLCA; Paired-cell Overlapping Loops of Cards; MCT reduction
Family: Planning
What it fixes: Cut the calendar time an order spends in the plant: product-focused cells, spare capacity, and POLCA cards that release work only when the next cell can take it
Symptoms on the floor: An order takes weeks to go through the plant; Dispatch dates keep slipping; Half-finished parts pile up between machines; Small batches and many variants kill output; Machines are busy but orders still ship late
Measure before and after: Order lead time (calendar days from order release to dispatch, or MCT); % orders on time; WIP count/value between cells; late-delivery penalty cost
How to get the baseline: Pick 20-30 recent orders from the order register and job cards; write release date and dispatch date for each; average the gap; count jobs waiting in front of each cell once a day for two weeks
Who leads it: plant head
Plant size (employees): 50-200, 200-1000
Industries: Auto and auto components, Machining and engineering, Forging, casting and sheet metal
Do first: Value Stream Mapping, Cellular manufacturing (one-piece flow cells)
Works well with: CONWIP (constant work-in-process), Kanban (pull system), Theory of Constraints (drum-buffer-rope), Finite-capacity scheduling (APS), Cellular manufacturing (one-piece flow cells), Heijunka (production levelling)
Common pitfall: Running machines at near-100% utilisation and releasing every order early defeats QRM; POLCA cards fail if MRP keeps pushing work regardless of cards
Last verified: 17 Oct 2026

Published results for Quick Response Manufacturing (QRM) with POLCA
Metric	Result	Context	Country	Source type	Citation
Process lead time (front shape, products P1+P2)	14.4 days reduced to 5.23 days	precision products manufacturer, ETO/MTO, POLCA integrated QRM	PK	Peer-reviewed study	Wang W., Khalid Q.S., Abas M., Li H., Azim S., Babar A.R., Saleem W., Khan R. (2021). Implementation of POLCA Integrated QRM Framework for Optimized Production Performance - A Case Study. Sustainability 13(6):3452
Profit lost to late-delivery penalties	from more than 40% to 0.3% (averaged estimated)	precision products manufacturer, ETO/MTO, POLCA integrated QRM	PK	Peer-reviewed study	Wang W., Khalid Q.S., Abas M., Li H., Azim S., Babar A.R., Saleem W., Khan R. (2021). Implementation of POLCA Integrated QRM Framework for Optimized Production Performance - A Case Study. Sustainability 13(6):3452
Total order fulfilment time	reduced by 8 weeks, 40% of baseline	automotive industry company, Podkarpackie Province, QRM cells	PL	Case study	Jedrusik A. (2025). QRM as a Method for Improving Processes, Using the Example of a Company in the Automotive Industry. European Research Studies Journal XXVIII(3):569-575

Reliability-centred maintenance (RCM)

TPM

Also known as: RCM; FMEA-based maintenance strategy; maintenance strategy selection
Family: TPM
What it fixes: For each critical machine, list how it can fail and pick the right maintenance task per failure: inspect, replace on schedule, monitor, or run to failure
Symptoms on the floor: Machines break down again and again; The same problem comes back every month; One machine or section always holds everyone up
Measure before and after: Breakdown downtime minutes/month per critical machine; failure rate; MTBF; availability %; maintenance cost
How to get the baseline: From the breakdown register, rank machines by downtime x impact; for top machines list failures by component for last 12 months and compute MTBF = run hours / number of failures
Who leads it: maintenance head
Plant size (employees): 200-1000, 1000+
Industries: Machining and engineering, Textiles and garments, Food and FMCG, Process industries
Do first: CMMS / digital maintenance log, Preventive (planned) maintenance, Process FMEA (PFMEA)
Works well with: Predictive maintenance (condition monitoring), TPM (Total Productive Maintenance), Autonomous maintenance, 5-Why root cause analysis, Pareto analysis (80/20), 8D problem solving
Common pitfall: Doing full RCM analysis on every asset exhausts the team; without reliable failure history the analysis is guesswork - limit it to the few critical machines
Last verified: 17 Oct 2026

Published results for Reliability-centred maintenance (RCM)
Metric	Result	Context	Country	Source type	Citation
breakdown level (filling machine)	breakdown level reduced 40-60% vs semester 1 of 2018	food and beverage, filling machine type A, Nutrifood Cibitung factory; autonomous maintenance tasks designed via FMEA-RCM	ID	Peer-reviewed study	Iswidibyo D., Nugroho G., Imam A., Junianto H., Astutik R., Hadi T., Puspasari K. (2019). Developing Autonomous Maintenance through FMEA-RCM Models to Reduce % Machine Breakdown in Food and Beverages Industry. Proc. ICIB 2019, SciTePress, pp.635-639. doi:10.5220/0008434706350639
breakdown downtime	breakdown downtime down 947, 814 and 899 min/month on three machines; failure rate down 6.29%, 6.97%, 6.69%	vermicelli factory, three machines	TH	Peer-reviewed study	Klomjit P., Pasuktree P. (2016). The Application of Reliability Centered Maintenance in The Sample Factory. Thai Industrial Engineering Network Journal 2(2):35-41

Training in India for Reliability-centred maintenance (RCM)
Provider	Programme	Format	Duration	Fee	Subsidy	Cities	For
IMTMA Training (Indian Machine Tool Manufacturers' Association)	Machine Breakdown Analysis	classroom	2 days			Pune	supervisor, maintenance head

Sales and Operations Planning (S&OP)

Planning

Also known as: S&OP; SIOP; integrated business planning; IBP; monthly demand-supply review
Family: Planning
What it fixes: A monthly meeting where sales, production, purchase and finance agree one plan: what will sell, what we can make, what stock we hold
Symptoms on the floor: Dispatch dates keep slipping; Raw material runs out - or too much is lying around; Overtime keeps rising, output does not; Output swings shift to shift
Measure before and after: Forecast accuracy (% or MAPE by product family); finished/raw inventory days; on-time-in-full to customers; order lead time for new products
How to get the baseline: For the last 6 months compare what sales forecast each month vs what was actually dispatched (from sales register); note inventory value at each month end from the balance sheet/stores
Who leads it: owner/MD
Plant size (employees): 200-1000, 1000+
Industries: any plant
Do first: ABC/XYZ inventory classification
Works well with: Finite-capacity scheduling (APS), Heijunka (production levelling), Demand-Driven MRP (DDMRP), Hoshin kanri (policy deployment), Daily management (tiered daily meetings)
Common pitfall: Becomes a sales-forecast reading session without the owner present and without a binding capacity decision, so production keeps reacting to the latest phone call
Last verified: 17 Oct 2026

Published results for Sales and Operations Planning (S&OP)
Metric	Result	Context	Source type	Citation
Order lead time for newly introduced products	67 percent reduction	company 1 of 2, Asia Pacific, S&OP for new product introduction	Peer-reviewed study	Goh S.H., Eldridge S. (2015). New product introduction and supplier integration in sales and operations planning: Evidence from the Asia Pacific region. International Journal of Physical Distribution & Logistics Management 45(9/10):861-886
Inventory levels	30 percent reduction in inventory levels	company 2 of 2, Asia Pacific, supplier integrated into S&OP	Peer-reviewed study	Goh S.H., Eldridge S. (2015). New product introduction and supplier integration in sales and operations planning: Evidence from the Asia Pacific region. International Journal of Physical Distribution & Logistics Management 45(9/10):861-886
Forecast accuracy	52 percent improvement in forecast accuracy	company 2 of 2, Asia Pacific, supplier integrated into S&OP	Peer-reviewed study	Goh S.H., Eldridge S. (2015). New product introduction and supplier integration in sales and operations planning: Evidence from the Asia Pacific region. International Journal of Physical Distribution & Logistics Management 45(9/10):861-886

Training in India for Sales and Operations Planning (S&OP)
Provider	Programme	Format	Duration	Fee	Cities	For
National Productivity Council (NPC) - e-LEAP	Introduction to Works Planning and Control	online	self-paced	Rs.250	online	plant head, shop manager
National Productivity Council (NPC) - e-LEAP	Materials Requirement Planning	online	self-paced	Rs.250	online	plant head, shop manager
IIM Calcutta - Executive Education	Advanced Programme in Smart Manufacturing Leadership (APSML)	online	8 months (Saturday evening live sessions + 4-day campus visit)	Rs. 2,74,000/- + (Applicable Taxes)	online + Kolkata campus	owner/MD, plant head
IIT Kanpur + IIM Calcutta + IIT Madras	PGPEX-VLM: Post Graduate Program for Executives - Visionary Leadership in Manufacturing	classroom	1 year full-time residential (incl. Japan immersion)		Kanpur / Kolkata / Chennai	plant head, shop manager

Six Sigma (DMAIC)

Six Sigma/quality

Also known as: Lean Six Sigma; Green Belt/Black Belt projects
Family: Six Sigma/quality
What it fixes: A data-driven project that finds the real cause of a chronic quality problem and locks the fix in
Symptoms on the floor: Too much rejection and rework; Customers complain or send material back; The same problem comes back every month; Output swings shift to shift
Measure before and after: Defects per unit / ppm / first-time yield for one product; process capability (Cpk); cost of rejection per month
How to get the baseline: Collect 4-6 weeks of defect data by type and machine; compute FTY and rejection cost from the register
Who leads it: quality head
Plant size (employees): 200-1000, 1000+
Industries: Auto and auto components, Machining and engineering, Forging, casting and sheet metal, Electrical and electronics, Pharma and medical devices
Works well with: Poka-yoke (mistake-proofing), Kaizen (continuous improvement), Statistical Process Control (SPC)
Common pitfall: Needs a trained belt and clean data; overkill for simple defects a poka-yoke can fix
Government support in India: ZED parameters Process Control, Measurement and Analysis, Quality Management
Last verified: 17 Oct 2026

Published results for Six Sigma (DMAIC)
Metric	Result	Context	Country	Source type	Citation
defects per unit; first-time yield; OEE; savings	DPU 0.18 -> 0.0068; FTY 83.5% -> 99.32%; OEE 0.48 -> 0.83; ~$140,000/yr	aluminium die-casting SME, 150 employees, 3 shifts (Lean Sigma: DMAIC + VSM + 5S + TPM)	IN	Peer-reviewed study	Kumar M., Antony J., Singh R.K., Tiwari M.K., Perry D. (2006). Implementing the Lean Sigma framework in an Indian SME: a case study. Production Planning & Control 17(4):407-423
process sigma level; savings	sigma 1.40 -> 5.46; Rs 0.288 million per annum	SME, bicycle-chain bushes	IN	Peer-reviewed study	Kaushik P., Khanduja D., Mittal K., Jaglan P. (2012). TQM Journal 24(1):4-16

Training in India for Six Sigma (DMAIC)
Provider	Programme	Format	Duration	Cities	For
Indian Statistical Institute - SQC & OR Unit Hyderabad	In-plant training programmes (top management / middle managers / shopfloor supervisors & operators)	in-plant	1-3 days top mgmt; 3-5 days managers; 2-3 days shopfloor	at client plant	owner/MD, plant head, supervisor, quality head, operator
CII Institute of Quality	Lean Six Sigma hand-holding & implementation; cost-saving projects; advanced programmes for senior management	handholding/consulting	engagement-based	Bengaluru (pan-India delivery)	owner/MD, plant head, quality head
IIT Kanpur + IIM Calcutta + IIT Madras	PGPEX-VLM: Post Graduate Program for Executives - Visionary Leadership in Manufacturing	classroom	1 year full-time residential (incl. Japan immersion)	Kanpur / Kolkata / Chennai	plant head, shop manager

Skill matrix and cross-training

People/standard work

Also known as: multi-skilling; cross-training; versatility chart; skill map; flexibility matrix
Family: People/standard work
What it fixes: A wall chart of who can run which machine/job at what level, used to plan training so absences and bottlenecks don't stop the line
Symptoms on the floor: Quality depends on one experienced operator; One machine or section always holds everyone up; Output swings shift to shift; Workers wait for material, cranes or instructions; Too many people for the output we get
Measure before and after: No. of operators qualified per critical machine/job; output lost on days with absenteeism; line efficiency %; labour productivity (pcs per operator-hour)
How to get the baseline: Supervisor fills a people x jobs grid (0-4 level) from his own knowledge; from attendance and production registers, compare output on full-attendance days vs absence days
Who leads it: supervisor
Plant size (employees): 50-200, 200-1000, 1000+
Industries: Machining and engineering, Electrical and electronics, Assembly lines, Textiles and garments, Food and FMCG, Packaging and printing
Do first: Standardised work
Works well with: TWI Job Instruction, Assembly line balancing, Standardised work, Cellular manufacturing (one-piece flow cells), Daily management (tiered daily meetings)
Common pitfall: Training everyone on everything wastes time and skills fade; simulation research (Nembhard 2014, IJOPM) finds moderate cross-training (about two tasks) beats heavy rotation
Last verified: 17 Oct 2026

Published results for Skill matrix and cross-training
Metric	Result	Context	Country	Source type	Citation
sewing line efficiency; labour productivity	Efficiency +21%, labour productivity +22% (balanced layout with multi-skilled manpower)	apparel sewing line; multi-skilling combined with line balancing and modular/traditional layout		Peer-reviewed study	Shumon, M.R.H., Arif-Uz-Zaman, K., Rahman, A. (2012). Productivity improvement through balancing process using multi-skilled manpower in apparel industries. International Journal of Industrial and Systems Engineering 11(1/2):31-

Training in India for Skill matrix and cross-training
Provider	Programme	Format	Duration	Fee	Subsidy	Cities	For
National Productivity Council (NPC) - e-LEAP	Supervisor and His Job	online	self-paced	Rs.250		online	supervisor

SMED (quick changeover)

Lean/TPS

Also known as: Single-Minute Exchange of Die; quick die change; setup reduction
Family: Lean/TPS
What it fixes: Cut the time a machine stands still between the last good part of one job and the first good part of the next
Symptoms on the floor: Machines stand idle waiting for setup / changeover; Small batches and many variants kill output; Output swings shift to shift
Measure before and after: Changeover time per change (last good part -> first good part), split internal/external steps; changes per shift; OEE availability
How to get the baseline: Video or stopwatch 5-10 changeovers on the target machine; log every changeover for 2 weeks
Who leads it: shop manager
Plant size (employees): 50-200, 200-1000, 1000+
Industries: Auto and auto components, Forging, casting and sheet metal, Plastics and rubber, Pharma and medical devices, Packaging and printing
Do first: 5S (workplace organisation)
Works well with: TPM (Total Productive Maintenance), Standardised work, OEE measurement (loss tracking)
Common pitfall: Gains fade if the new changeover steps are not written into standard work and checked
Government support in India: ZED parameter Daily Works Management / Waste Management; SMED is in MSME Lean scheme curriculum
Last verified: 17 Oct 2026

Published results for SMED (quick changeover)
Metric	Result	Context	Country	Source type	Citation
die changeover time	-43% to -45%; OEE 70% after	forging plant, die change on three press capacities		Peer-reviewed study	Sundaramali G., Kandavel T.K., Santhosh Raj K., Anirudh S. (2024). Application of SMED to improve overall equipment effectiveness of die change over activities in a forging industry - a case study. Int. J. Productivity and Quality Management 42(4):445-458
welding machine changeover time	-61%; >40 min of production time recovered (+4 gratings, efficiency +4.77%)	bridge-grating production line, welding station	PL	Peer-reviewed study	Ocieczek W., Krasniewski D., Furman J. (2025). Implementation of the SMED method on a production line to improve work efficiency. Production Engineering Archives

Training in India for SMED (quick changeover)
Provider	Programme	Format	Duration	Fee	Subsidy	Cities	For
National Productivity Council (NPC) - e-LEAP	NRLL Series M7 - Lean Tools: Single Minute Exchange of Dies (SMED)	online	self-paced	Rs.1500		online	shop manager, supervisor, maintenance head
National Productivity Council (NPC) - e-LEAP	Rapid Lean Learning Course	online	self-paced	Rs.7080		online	plant head, shop manager
Ministry of MSME - MSME Competitive (LEAN) Scheme (implementing agencies QCI, NPC)	MSME Competitive LEAN Scheme: Basic / Intermediate / Advanced levels	handholding/consulting	Basic ~2 months (self-paced LMS + pledge); Intermediate/Advanced with lean consultant	Basic free	Govt bears 90% of lean-consultant fee for Intermediate/Advanced (per scheme guidelines)	pan-India (online LMS + in-plant)	owner/MD, plant head, shop manager, supervisor
Quality Circle Forum of India (QCFI)	40th National Convention on Quality Concepts (NCQC 2026) - case-study competitions on QC, Kaizen, 5S, Lean, SMED, Poka-yoke	classroom	4 days			Bhubaneswar	shop manager, supervisor, operator
IMTMA Training (Indian Machine Tool Manufacturers' Association)	Implementing Toyota Production System - Why, What and How	classroom	2 days	Rs. 4999/- +18% GST	Group concession 10% for 3-5, 20% for 6+ delegates (as printed on IMTMA pages)	Bengaluru	plant head, shop manager
IMTMA Training (Indian Machine Tool Manufacturers' Association)	Quick Changeover Techniques (SMED) in Discrete Manufacturing	classroom	1 day	Rs. 2999/- +18% GST	Group concession 10% for 3-5, 20% for 6+ delegates (as printed on IMTMA pages)	Chhatrapati Sambhajinagar	shop manager, supervisor
IMTMA Training (Indian Machine Tool Manufacturers' Association)	Quick Changeover Techniques (SMED) in Discrete Manufacturing	classroom	2 days			Hosur	shop manager, supervisor
ACMA Centre for Technology (ACT) - ACMA Cluster Programme	ACMA Cluster Programme (Foundation QCD cluster, Lean, TPM, Zero-Defect, MFCA, Low-Cost Automation, Energy Efficiency, Safety, Digital)	handholding/consulting	multi-month cluster (duration not printed in source)			auto-component hubs (Pune, NCR, Chennai etc.)	owner/MD, plant head, shop manager
ACMA regional chapters	Regional Kaizen Competition; Poka Yoke & SMED Competition (ACMA North / West)	classroom	1 day			NCR / Uttarakhand; Pune	shop manager, supervisor, operator
IIM Mumbai (formerly NITIE) - Open MDP	Manufacturing & Operational Excellence	online	3 days / 18 hours		Bulk discount for 5+ participants from same organisation	online	plant head, shop manager, quality head, maintenance head

Spaghetti diagram (travel mapping)

Lean/TPS

Also known as: string diagram; spaghetti chart; walk pattern map; flow diagram
Family: Lean/TPS
What it fixes: Draw on the floor plan every walk of one operator or one part for a shift; the tangle shows wasted travel to cut
Symptoms on the floor: Workers wait for material, cranes or instructions; People waste time looking for tools, dies, gauges; The floor is cluttered, no space to grow; An order takes weeks to go through the plant; Too many people for the output we get
Measure before and after: Walking/travel distance per part or per shift (m); walking time share of cycle; number of trips
How to get the baseline: Follow one operator or one job with a printed floor plan and pen for a full cycle or shift, draw each move, count steps or use a measuring wheel
Who leads it: supervisor
Plant size (employees): 50-200, 200-1000, 1000+
Industries: any plant
Works well with: Gemba walk, Plant layout redesign (Systematic Layout Planning), 5S (workplace organisation), Value Stream Mapping, Line-side kitting, Cellular manufacturing (one-piece flow cells)
Common pitfall: The diagram is only a diagnosis; without moving tools, stores or machines afterwards the distance stays the same
Last verified: 17 Oct 2026

Published results for Spaghetti diagram (travel mapping)
Metric	Result	Context	Country	Source type	Citation
total distance traveled	total distance traveled reduced by 61.2% (with lead time -23.66%, WIP -8.6%)	Hibret Manufacturing & Machine Building Industries, machine building; VSM + spaghetti diagram	ET	Peer-reviewed study	Gebeyehu S.G., Abebe M., Gochel A. (2022). Production lead time improvement through lean manufacturing. Cogent Engineering 9(1)
total walking distance of inspection process	87 m -> 38.50 m (-55.75%); operators -33.33%	incoming inspection of car-body (chassis) auto parts; spaghetti chart + container relocation	TH	Case study	Phakdeewanich C., Thongphrom S. (2020). Efficiency improvement of incoming auto-part inspection: a case study of car body [Thai]. PSRU Journal of Industrial Technology and Engineering 2(2):37-51

Training in India for Spaghetti diagram (travel mapping)
Provider	Programme	Format	Duration	Fee	Subsidy	Cities	For
National Productivity Council (NPC) - e-LEAP	Value Stream Mapping	online	self-paced	Rs.1500		online	plant head, shop manager

Standardised work

People/standard work

Also known as: standard work; SOP at the workstation; standardized work combination table; standard operation sheet
Family: People/standard work
What it fixes: Write down the best known sequence, time and in-process stock for each job, post it at the station, and train everyone to it
Symptoms on the floor: Quality depends on one experienced operator; Output swings shift to shift; Machines run slower than they should; Too much rejection and rework; Improvement drives start well and fade out
Measure before and after: Output per shift vs logged capacity, cycle time and its spread between operators/shifts, operator walking distance, line downtime, defects per shift
How to get the baseline: Video or stopwatch the same job done by 2-3 operators on different shifts for 10 cycles each; note steps, walking, waits; take output per shift from the production logbook
Who leads it: supervisor
Plant size (employees): 50-200, 200-1000, 1000+
Industries: Auto and auto components, Machining and engineering, Forging, casting and sheet metal, Assembly lines
Do first: 5S (workplace organisation), Time and motion study
Works well with: TWI Job Instruction, Skill matrix and cross-training, Takt time planning, Assembly line balancing, Kaizen (continuous improvement), Visual management, Daily management (tiered daily meetings)
Common pitfall: Sheets written by engineers and filed away do not stick; without supervisor checks and updates after each kaizen, operators drift back to old habits
Last verified: 17 Oct 2026

Published results for Standardised work
Metric	Result	Context	Country	Source type	Citation
Output per 7 h shift (core making workstation)	SW saved 31.6 s per cycle, production up to 58 pieces per 7 h shift (vs 45-50 actual, 54 capacity); productivity up to 6.5 percent	Core making process (bottleneck workstation) in a manufacturing company; no investment in machinery or tooling		Peer-reviewed study	Mor R.S., Bhardwaj A., Singh S., Sachdeva A. (2019). Productivity gains through standardization-of-work in a manufacturing company. Journal of Manufacturing Technology Management 30(6):899-919
Assembly line downtime	36 minutes reduction in assembly time, 200 m less operator movement on average, 9.6% reduction in assembly line downtime	Medium chassis assembly line, company in South Brazil	BR	Peer-reviewed study	Fin J.C., Vidor G., Cecconello I., Machado V.C. (2017). Improvement based on standardized work: an implementation case study. Brazilian Journal of Operations & Production Management 14(3):388-395
Output per man-hour	production output from 45 pieces to 54 pieces per man hour (table states 16.67% increase); attainment 95.79% to 98.95%	Automotive assembly line, Malaysia	MY	Peer-reviewed study	Abdul Halim N.H., Jaffar A., Yusof N., Jaafar R., Adnan A.N., Mohd Salleh N.A., Azira N.N. (2015). Standardized work in TPS production line. Jurnal Teknologi 76(6):73-78

Training in India for Standardised work
Provider	Programme	Format	Duration	Fee	Subsidy	Cities	For
National Productivity Council (NPC) - e-LEAP	NRLL Series M4 - Productivity Improvement through Line Balancing	online	self-paced	Rs.1500		online	shop manager, supervisor
National Productivity Council (NPC) - e-LEAP	Rapid Lean Learning Course	online	self-paced	Rs.7080		online	plant head, shop manager
National Productivity Council (NPC) - e-LEAP	Industrial Engineering Tools for Productivity Improvement	online	self-paced	Rs.2000		online	shop manager, supervisor
National Productivity Council (NPC) - e-LEAP	Supervisor and His Job	online	self-paced	Rs.250		online	supervisor
Ministry of MSME - MSME Competitive (LEAN) Scheme (implementing agencies QCI, NPC)	MSME Competitive LEAN Scheme: Basic / Intermediate / Advanced levels	handholding/consulting	Basic ~2 months (self-paced LMS + pledge); Intermediate/Advanced with lean consultant	Basic free	Govt bears 90% of lean-consultant fee for Intermediate/Advanced (per scheme guidelines)	pan-India (online LMS + in-plant)	owner/MD, plant head, shop manager, supervisor
CII Naoroji Godrej Centre of Manufacturing Excellence (CII CME), Mumbai	In-house programmes for companies (curated knowledge modules / coaching): lean, 5S, Kaizen & 3M, cost reduction, safety	in-plant	tailored			Mumbai (delivered pan-India)	plant head, shop manager, supervisor
IMTMA Training (Indian Machine Tool Manufacturers' Association)	Implementing Toyota Production System - Why, What and How	classroom	2 days	Rs. 4999/- +18% GST	Group concession 10% for 3-5, 20% for 6+ delegates (as printed on IMTMA pages)	Bengaluru	plant head, shop manager
IMTMA Training (Indian Machine Tool Manufacturers' Association)	Enhancing Productivity in Grinding Operations	classroom	2 days	Rs. 4999/- +18% GST	Group concession 10% for 3-5, 20% for 6+ delegates (as printed on IMTMA pages)	Hosur	shop manager, supervisor, operator
IMTMA Training (Indian Machine Tool Manufacturers' Association)	Lean Daily Work Management (DWM) System	classroom	1 day	Rs. 2999/- +18% GST	Group concession 10% for 3-5, 20% for 6+ delegates (as printed on IMTMA pages)	Bengaluru	plant head, shop manager, supervisor

Statistical Process Control (SPC)

Six Sigma/quality

Also known as: control charts; process capability; Cp/Cpk; X-bar R chart; p-chart
Family: Six Sigma/quality
What it fixes: Plot key dimensions or defect counts on simple charts every shift so drift is caught before bad parts are made
Symptoms on the floor: Too much rejection and rework; Customers complain or send material back; Output swings shift to shift; Quality depends on one experienced operator; The same problem comes back every month
Measure before and after: Cpk of critical dimensions; rejection % or ppm per shift; number of out-of-control points per week
How to get the baseline: Take 25 subgroups of 5 parts from the existing inspection register or gauge readings, plot X-bar/R by hand or in Excel, compute Cpk against drawing tolerance
Who leads it: quality head
Plant size (employees): 50-200, 200-1000, 1000+
Industries: Auto and auto components, Machining and engineering, Forging, casting and sheet metal, Plastics and rubber, Textiles and garments, Pharma and medical devices, Packaging and printing
Do first: Measurement System Analysis (Gauge R&R), Standardised work
Works well with: Measurement System Analysis (Gauge R&R), Six Sigma (DMAIC), Design of Experiments (DOE / Taguchi), Process FMEA (PFMEA), Poka-yoke (mistake-proofing), Jidoka and andon (stop-the-line signalling), Automated visual inspection (machine vision / AI camera)
Common pitfall: Charts get filled in for the auditor but nobody reacts to out-of-control signals, so nothing improves
Last verified: 17 Oct 2026

Published results for Statistical Process Control (SPC)
Metric	Result	Context	Country	Source type	Citation
Cpk of drop impact resistance	Cpk index was increased from 0.48 to 1.79	aluminium two-piece beverage can manufacturer, SPC via PDCA	ID	Peer-reviewed study	Sunadi S., Purba H.H., Hasibuan S. (2020). Implementation of Statistical Process Control through PDCA Cycle to Improve Potential Capability Index of Drop Impact Resistance: A Case Study at Aluminum Beverage and Beer Cans Manufacturing Industry in Indonesia. Quality Innovation Prosperity 24(1):104-127

Training in India for Statistical Process Control (SPC)
Provider	Programme	Format	Duration	Fee	Subsidy	Cities	For
National Productivity Council (NPC) - e-LEAP	Basic 7QC Tools	online	self-paced	Rs.250		online	supervisor, quality head, operator
National Productivity Council (NPC) - e-LEAP	Inspection for Quality Control	online	self-paced	Rs.250		online	supervisor, quality head, operator
National Productivity Council (NPC) - e-LEAP	ISO-9001:2015 and IATF 16949:2016 Quality Management System	online	self-paced	Rs.2000		online	quality head
Central Tool Room & Training Centre (CTTC) Bhubaneswar - MSME Technology Centre	Jr. Technician - Inspection & Quality Control (NSQF)	classroom	6 months / 600 hrs	₹ 22,000/-	No fee for SC/ST (NSQF courses)	Bhubaneswar	supervisor, operator
Indian Statistical Institute - SQC & OR Unit Hyderabad	In-plant training programmes (top management / middle managers / shopfloor supervisors & operators)	in-plant	1-3 days top mgmt; 3-5 days managers; 2-3 days shopfloor			at client plant	owner/MD, plant head, supervisor, quality head, operator
Quality Circle Forum of India (QCFI) HQ	Webinar on 'Basic Statistical Analysis'	online	2 days (10 AM - 4 PM)			online	supervisor, quality head
IMTMA Training (Indian Machine Tool Manufacturers' Association)	Fundamentals of APQP and Implementation of PPAP	classroom	2 days			Hosur	quality head
IMTMA Training (Indian Machine Tool Manufacturers' Association)	Implementing SPC, a Game Changer for Cost Reduction	classroom	1 day	Rs. 2999/- +18% GST	Group concession 10% for 3-5, 20% for 6+ delegates (as printed on IMTMA pages)	Pune	supervisor, quality head
IMTMA Training (Indian Machine Tool Manufacturers' Association)	Implementing SPC, a Game Changer for Cost Reduction	classroom	2 days			Bengaluru	supervisor, quality head
Indian Institution of Industrial Engineering (IIIE), Navi Mumbai	Graduateship in Industrial Engineering (IE Grad) - membership-based distance examination	certification	multi-year, exam sessions (Aug 2026 session running)			distance / exam centres	shop manager, supervisor

Supplier development

Six Sigma/quality

Also known as: supplier development programme; supplier upgrading; cluster programme; Honda BP; supplier quality development
Family: Six Sigma/quality
What it fixes: Buyer actively helps key suppliers fix their quality, delivery and cost (visits, training, joint kaizen) instead of only rating or switching them
Symptoms on the floor: Suppliers deliver late or with defects; Too much rejection and rework; Customers complain or send material back; Dispatch dates keep slipping; Raw material runs out - or too much is lying around
Measure before and after: Supplier incoming rejection PPM; supplier on-time-in-full %; line stoppages due to supplier parts; supplier lead time; cost of supplier-caused rework
How to get the baseline: From goods-receipt and incoming inspection registers: rejections per supplier per month (PPM), late deliveries vs PO date, and production log entries of stops for missing/bad bought-out parts, for the last 3-6 months
Typical duration: 52 to 52 weeks
Cost: Rs. 65'000-125'000 per company for Preparatory Cluster (Level 1), 12 months (1 visit / month); Rs. 125'000+ for Advanced Cluster (Lean, 15-18 visits), as of Feb 2016 (UNIDO-ACMA programme)
Who leads it: owner/MD
Plant size (employees): 200-1000, 1000+
Industries: any plant
Do first: ISO 9001 quality management system, Pareto analysis (80/20)
Works well with: 8D problem solving, Vendor-managed inventory (VMI), Kaizen (continuous improvement), 5S (workplace organisation), Cost of Poor Quality (COPQ) measurement, In-plant milk-run with supermarket
Common pitfall: Short-term, buyer-demands-only programmes fade; gains often stay on the one line the buyer touched unless the supplier's own management takes ownership
Last verified: 17 Oct 2026

Published results for Supplier development
Metric	Result	Context	Country	Source type	Citation
Productivity on lines reengineered by buyer's supplier development team	average productivity gains of 50% on lines reengineered by BP	Honda of America BP programme, US automotive suppliers, 1994	US	Peer-reviewed study	MacDuffie J.P., Helper S. (1997). Creating Lean Suppliers: Diffusing Lean Production through the Supply Chain. California Management Review 39(4):118-151
Overall cost competitiveness profile (composite)	Overall cost competitiveness profile of ACMA firms improved by 13.3%	Indian auto-component SMEs, UNIDO-ACMA-DHI cluster/supplier development programme, 152 firms, 2014-2018	IN	Case study	UNIDO Independent Evaluation Division (2018). Independent Terminal Project Evaluation: Supporting SMEs in the automotive component industry in India (UNIDO-ACMA-DHI Partnership Programme), project 100245
Supplier product defects (range across firms)	Reducing product defects by 5 - 90%; improving on-time delivery by 6 - 15%	US firms, Supplier Development research of NC State Supply Chain Resource Cooperative	US	Case study	Supply Chain Resource Cooperative, NC State University (2002). Supplier Development Strategies and Outcomes

Training in India for Supplier development
Provider	Programme	Format	Duration	Fee	Subsidy	Cities	For
Ministry of MSME - MSME Sustainable (ZED) Certification Scheme (implemented by QCI)	ZED Certification (Bronze/Silver/Gold) + Gap Analysis & Handholding	certification	Bronze online self-certification; Silver/Gold with site assessment	Registration free	Subsidy on certification cost per scheme guidelines; handholding (consultancy) support up to Rs.2 lakh; free ZED certification for women-owned MSMEs	pan-India	owner/MD, plant head, quality head
Indian Statistical Institute - SQC & OR Unit Hyderabad	In-plant training programmes (top management / middle managers / shopfloor supervisors & operators)	in-plant	1-3 days top mgmt; 3-5 days managers; 2-3 days shopfloor			at client plant	owner/MD, plant head, supervisor, quality head, operator
CII Naoroji Godrej Centre of Manufacturing Excellence (CII CME), Mumbai	In-house programmes for companies (curated knowledge modules / coaching): lean, 5S, Kaizen & 3M, cost reduction, safety	in-plant	tailored			Mumbai (delivered pan-India)	plant head, shop manager, supervisor
IMTMA Training (Indian Machine Tool Manufacturers' Association)	Fundamentals of APQP and Implementation of PPAP	classroom	2 days			Hosur	quality head
ACMA Centre for Technology (ACT) - ACMA Cluster Programme	ACMA Cluster Programme (Foundation QCD cluster, Lean, TPM, Zero-Defect, MFCA, Low-Cost Automation, Energy Efficiency, Safety, Digital)	handholding/consulting	multi-month cluster (duration not printed in source)			auto-component hubs (Pune, NCR, Chennai etc.)	owner/MD, plant head, shop manager

Takt time planning

Lean/TPS

Also known as: takt; customer demand rate; pacing to demand
Family: Lean/TPS
What it fixes: Work out how many seconds per piece the customer demand allows, and pace every station and staffing level to that beat
Symptoms on the floor: Overtime keeps rising, output does not; Dispatch dates keep slipping; Output swings shift to shift; Too many people for the output we get; One machine or section always holds everyone up
Measure before and after: Line cycle time vs takt time, output per man-hour, overtime hours per month, schedule attainment %
How to get the baseline: Takt = available minutes per shift / required pieces per shift (from orders); stopwatch actual cycle time at each station; take overtime hours and attainment from attendance and production registers
Who leads it: plant head
Plant size (employees): 50-200, 200-1000, 1000+
Industries: Auto and auto components, Forging, casting and sheet metal, Assembly lines, Textiles and garments
Do first: Time and motion study
Works well with: Assembly line balancing, Standardised work, Heijunka (production levelling), Value Stream Mapping, Cellular manufacturing (one-piece flow cells)
Common pitfall: Takt is only a number on paper unless stations are rebalanced and standard work set to it; in high-mix shops a single takt hides very different product work contents
Last verified: 17 Oct 2026

Published results for Takt time planning
Metric	Result	Context	Country	Source type	Citation
Line cycle time vs takt	line CT was reduced by 16.0%, from 78.0 sec to 65.5 sec, managed to be lower than line takt time	Automotive assembly line (TPS line), Malaysia; takt set from 5 months demand, line rebalanced and standard work applied	MY	Peer-reviewed study	Abdul Halim N.H., Jaffar A., Yusof N., Jaafar R., Adnan A.N., Mohd Salleh N.A., Azira N.N. (2015). Standardized work in TPS production line. Jurnal Teknologi 76(6):73-78
Average overtime	Average overtime was reduced from 193.56 hours to 55.0 hours per month	Same automotive assembly line, Malaysia, after balancing to takt	MY	Peer-reviewed study	Abdul Halim N.H., Jaffar A., Yusof N., Jaafar R., Adnan A.N., Mohd Salleh N.A., Azira N.N. (2015). Standardized work in TPS production line. Jurnal Teknologi 76(6):73-78

Training in India for Takt time planning
Provider	Programme	Format	Duration	Fee	Subsidy	Cities	For
National Productivity Council (NPC) - e-LEAP	NRLL Series M4 - Productivity Improvement through Line Balancing	online	self-paced	Rs.1500		online	shop manager, supervisor
IIM Mumbai (formerly NITIE) - Open MDP	Manufacturing & Operational Excellence	online	3 days / 18 hours		Bulk discount for 5+ participants from same organisation	online	plant head, shop manager, quality head, maintenance head

Theory of Constraints (drum-buffer-rope)

TOC

Also known as: TOC; DBR; bottleneck management; Goldratt
Family: TOC
What it fixes: Find the one machine that limits the whole plant, keep it running every minute, and pace everything else to it
Symptoms on the floor: One machine or section always holds everyone up; Machines are busy but orders still ship late; Dispatch dates keep slipping; An order takes weeks to go through the plant; Half-finished parts pile up between machines
Measure before and after: Output of the bottleneck per shift; bottleneck idle minutes; on-time dispatch %; lead time; WIP
How to get the baseline: Find where WIP piles up; log the bottleneck's running vs idle time for 2 weeks; take on-time % from dispatch register
Who leads it: owner/MD
Plant size (employees): 50-200, 200-1000, 1000+
Industries: Auto and auto components, Machining and engineering, Textiles and garments, Process industries
Works well with: Value Stream Mapping, OEE measurement (loss tracking), Kanban (pull system)
Common pitfall: Literature reports almost no failures - expect smaller gains; bottleneck moves after the fix
Last verified: 17 Oct 2026

Published results for Theory of Constraints (drum-buffer-rope)
Metric	Result	Context	Country	Source type	Citation
lead time; inventory; due-date performance; revenue/throughput	lead time -69% (n=32); inventory -50% (n=28); due-date performance +60% (n=12); revenue/throughput +68%	review of published TOC applications, mostly manufacturing		Review of studies	Balderstone S.J., Mabin V.J. (c.1998). A Review of Goldratt's Theory of Constraints (TOC) - lessons from the international literature. Victoria University of Wellington (basis of Mabin & Balderstone 2003, IJOPM 23(6):568-595, doi 10.1108/01443570310476636)

Time and motion study

Measurement

Also known as: time study; motion study; method study; work measurement; work study; stopwatch study
Family: Measurement
What it fixes: Watch and time each job step with a stopwatch, cut useless motions and waiting, and set a fair standard time per piece
Symptoms on the floor: Too many people for the output we get; Overtime keeps rising, output does not; Output swings shift to shift; Workers wait for material, cranes or instructions; One machine or section always holds everyone up
Measure before and after: Pieces per operator-hour; cycle time per operation; share of non-value-added time; standard vs actual time per piece
How to get the baseline: Supervisor or IE times 10-20 cycles per operation with a stopwatch or phone video, splits each into elements, records waiting/walking, and compares to output register
Who leads it: plant head
Plant size (employees): 50-200, 200-1000, 1000+
Industries: Auto and auto components, Machining and engineering, Forging, casting and sheet metal, Assembly lines, Textiles and garments, Process industries
Works well with: Work sampling, Standardised work, Assembly line balancing, Takt time planning, Workstation ergonomics, Spaghetti diagram (travel mapping)
Common pitfall: Timing people without explaining why turns it into a rate-cutting fight and operators slow down while being watched
Last verified: 17 Oct 2026

Published results for Time and motion study
Metric	Result	Context	Country	Source type	Citation
work efficiency (model production)	efficiency increased 53 percent; model production capacity reached 237	tea-glass manufacturer, model production (moulder work), time survey vs standard time	TR	Peer-reviewed study	Duran C., Cetindere A., Aksu Y.E. (2015). Productivity Improvement by Work and Time Study Technique for Earth Energy-glass Manufacturing Company. Procedia Economics and Finance 26:109-113
overall productivity	14% productivity increase; annual financial gain 21,84,000 (currency not stated, INR format)	sheet-metal stamping, Piaggio Ape 3-wheeler mid-body frame line, Budhale Stampings	IN	Case study	Shinde A., Jadhav P., Oswal A. (2023). Productivity Improvement by using Time Study: A Case Study on Mid Body Frame Manufacturing. International Journal For Multidisciplinary Research 5(6)

Training in India for Time and motion study
Provider	Programme	Format	Duration	Fee	Subsidy	Cities	For
National Productivity Council (NPC) - e-LEAP	Industrial Engineering Tools for Productivity Improvement	online	self-paced	Rs.2000		online	shop manager, supervisor
Indian Institution of Industrial Engineering (IIIE), Navi Mumbai	Graduateship in Industrial Engineering (IE Grad) - membership-based distance examination	certification	multi-year, exam sessions (Aug 2026 session running)			distance / exam centres	shop manager, supervisor
IIM Mumbai (formerly NITIE) - Open MDP	Manufacturing & Operational Excellence	online	3 days / 18 hours		Bulk discount for 5+ participants from same organisation	online	plant head, shop manager, quality head, maintenance head

TPM (Total Productive Maintenance)

TPM

Also known as: autonomous maintenance; jishu hozen; planned maintenance
Family: TPM
What it fixes: Operators and maintenance together keep machines in shape so they stop breaking down and stop running slow
Symptoms on the floor: Machines break down again and again; Machines run slower than they should; One machine or section always holds everyone up; Too much rejection and rework
Measure before and after: OEE split into availability x performance x quality; breakdown hours per month; MTBF/MTTR; rejection %
How to get the baseline: Log every stop over 5 minutes with reason and duration for 4 weeks; compute OEE per critical machine
Who leads it: plant head
Plant size (employees): 200-1000, 1000+
Industries: Auto and auto components, Forging, casting and sheet metal, Textiles and garments, Process industries, Packaging and printing
Do first: 5S (workplace organisation)
Works well with: OEE measurement (loss tracking), SMED (quick changeover), Kaizen (continuous improvement)
Common pitfall: Multi-year programme; stalls if operators are not given time and authority for daily checks
Government support in India: ZED parameter Planned Maintenance & Calibration; TPM is in MSME Lean scheme curriculum; CII TPM Club India (JIPM MoU since 1998) runs TPM certificate
Last verified: 17 Oct 2026

Published results for TPM (Total Productive Maintenance)
Metric	Result	Context	Country	Source type	Citation
OEE; breakdown time; rejection; production	OEE +17.08%; breakdown time -23.14%; rejection -17.94%; production +15.63%	manufacturing unit, North India	IN	Peer-reviewed study	Singh J., Singh H., Sharma V. (2018). Success of TPM concept in a manufacturing unit - a case study. IJPPM 67(3):536-549
OEE	51.39% -> 58.81%	jute bag plant	BD	Peer-reviewed study	Haider M.M.N., Rafiquzzaman M. (2023). Implementation of Total Productive Maintenance in a Jute Bag Industry: a Case Study. J. Engineering Science 14(1):137-149

Training in India for TPM (Total Productive Maintenance)
Provider	Programme	Format	Duration	Fee	Subsidy	Cities	For
National Productivity Council (NPC) - e-LEAP	Total Productive Maintenance (TPM): Basic Programme	online	self-paced	Rs.1200		online	shop manager, supervisor, maintenance head
National Productivity Council (NPC)	Operational Excellence in Manufacturing: Lean, TPM & Industry 4.0	classroom	5 days			Puri	plant head, shop manager, maintenance head
Ministry of MSME - MSME Competitive (LEAN) Scheme (implementing agencies QCI, NPC)	MSME Competitive LEAN Scheme: Basic / Intermediate / Advanced levels	handholding/consulting	Basic ~2 months (self-paced LMS + pledge); Intermediate/Advanced with lean consultant	Basic free	Govt bears 90% of lean-consultant fee for Intermediate/Advanced (per scheme guidelines)	pan-India (online LMS + in-plant)	owner/MD, plant head, shop manager, supervisor
CII TPM Club India (CII-IQ)	CII TPM Certificate / Excellence in Operational Technology (EOT) award & certification assessment; TPM Club membership	certification	assessment-based			pan-India	owner/MD, plant head, maintenance head
IMTMA Training (Indian Machine Tool Manufacturers' Association)	World Class Manufacturing - What, Why and How; Tools and Techniques	classroom	2 days			Bengaluru	owner/MD, plant head
IMTMA Training (Indian Machine Tool Manufacturers' Association)	Understanding TPM and Roadmap for Implementation of TPM	classroom	2 days			Hosur	plant head, maintenance head
ACMA Centre for Technology (ACT) - ACMA Cluster Programme	ACMA Cluster Programme (Foundation QCD cluster, Lean, TPM, Zero-Defect, MFCA, Low-Cost Automation, Energy Efficiency, Safety, Digital)	handholding/consulting	multi-month cluster (duration not printed in source)			auto-component hubs (Pune, NCR, Chennai etc.)	owner/MD, plant head, shop manager
IIT Kanpur + IIM Calcutta + IIT Madras	PGPEX-VLM: Post Graduate Program for Executives - Visionary Leadership in Manufacturing	classroom	1 year full-time residential (incl. Japan immersion)			Kanpur / Kolkata / Chennai	plant head, shop manager

TWI Job Instruction

People/standard work

Also known as: Training Within Industry; TWI-JI; 4-step job instruction; JI
Family: People/standard work
What it fixes: A 4-step way for supervisors to teach a job (prepare, show, try, follow up) so new operators get it right fast and the same way
Symptoms on the floor: Quality depends on one experienced operator; Too much rejection and rework; Output swings shift to shift; The same problem comes back every month; Too many people for the output we get
Measure before and after: Days for a new operator to reach standard output; first-pass yield / rejection per operator; output variation between operators and shifts; training hours per operator
How to get the baseline: From production and rejection registers, compare output and rejects of new vs experienced operators per job; note days until a new joiner reaches target output
Who leads it: shop manager
Plant size (employees): 50-200, 200-1000, 1000+
Industries: any plant
Do first: Standardised work
Works well with: Standardised work, Skill matrix and cross-training, Kaizen (continuous improvement), Daily management (tiered daily meetings), Poka-yoke (mistake-proofing)
Common pitfall: Training supervisors once without job breakdown sheets and follow-up on the floor turns JI into a classroom course that changes nothing
Last verified: 17 Oct 2026

Published results for TWI Job Instruction
Metric	Result	Context	Country	Source type	Citation
firm productivity vs non-trained applicants	+6% productivity within one year, rising to +27% after ten years	11,575 US firms that applied to the TWI programme 1940-45; trained vs non-trained applicants	US	Working paper	Bianchi, N., Giorcelli, M. (2022). The Dynamics and Spillovers of Management Interventions: Evidence from the Training within Industry Program. Journal of Political Economy 130(6):1630-1675 (figures from NBER Working Paper 28833, 2021)
share of companies with production up at least 25%	86% of 600 companies increased production by at least 25%; 100% reduced training time by 25% or more; 55% reduced scrap by at least 25%	1945 TWI programme report, 600 participating US companies (cited secondhand)	US	Case study	Misiurek, B., Koch, T. (2014). Teaching formula of the training for operators on effective application of lean management tools. Management and Production Engineering Review 5(1):21-27

Value analysis / value engineering

Six Sigma/quality

Also known as: VA/VE; VAVE; value analysis; function cost analysis; design to cost
Family: Six Sigma/quality
What it fixes: Take your costliest parts, ask what each must do, and redesign material, shape or process to make it cheaper without losing function
Symptoms on the floor: Material cost per part is too high, margins shrinking; Too much rejection and rework
Measure before and after: Material + conversion cost per part (Rs/piece); weight per part; number of operations; margin on the product
How to get the baseline: Cost sheet per part from purchase rates and routing: raw material weight x rate + machine hours x rate; pick top parts by Pareto of annual spend
Who leads it: owner/MD
Plant size (employees): 50-200, 200-1000, 1000+
Industries: Auto and auto components, Machining and engineering, Forging, casting and sheet metal, Electrical and electronics
Do first: Pareto analysis (80/20)
Works well with: Cost of Poor Quality (COPQ) measurement, Supplier development, Process FMEA (PFMEA), Kaizen (continuous improvement), Design of Experiments (DOE / Taguchi)
Common pitfall: Cutting material without checking the function and the customer's approval causes field failures and lost orders, wiping out the saving
Last verified: 17 Oct 2026

Published results for Value analysis / value engineering
Metric	Result	Context	Country	Source type	Citation
component cost reduction	rotor 30%, pump body 4%, stator housing 10% cost reduction	fuel-dispenser Global Pumping Unit, Indian retail market	IN	Peer-reviewed study	Bhosle, A., Sah, A., Shinde, D. K. (2020). Application of Value Analysis and Value Engineering for Cost Reduction of Global Pumping Unit. In: Advances in Simulation, Product Design and Development, Springer, pp. 663-674
component cost reduction	cost reductions of up to 36% of initial component cost	product engineering department of an automotive company, mass-produced components	BR	Peer-reviewed study	Candido, G. M., Kaminski, P. C. (2008). Product value optimisation engineering applied to current component designs: a case study from the Brazilian automotive industry. International Journal of Automotive Technology and Management 8(3):270

Training in India for Value analysis / value engineering
Provider	Programme	Format	Duration	Fee	Subsidy	Cities	For
National Productivity Council (NPC) - e-LEAP	Value Analysis	online	self-paced	Rs.250		online	owner/MD, plant head
Indian Institution of Industrial Engineering (IIIE), Navi Mumbai	Graduateship in Industrial Engineering (IE Grad) - membership-based distance examination	certification	multi-year, exam sessions (Aug 2026 session running)			distance / exam centres	shop manager, supervisor

Value Stream Mapping

Lean/TPS

Also known as: VSM; material and information flow mapping
Family: Lean/TPS
What it fixes: Draw how one order really moves through the plant, door to door, and see where it waits
Symptoms on the floor: An order takes weeks to go through the plant; Machines are busy but orders still ship late; Half-finished parts pile up between machines; Too many people for the output we get; Workers wait for material, cranes or instructions
Measure before and after: Order lead time (days, door to door); WIP between each pair of stations; value-added time / lead time
How to get the baseline: Walk one product family with a stopwatch and count WIP at each station on one day; take lead time from 20 recent orders
Who leads it: plant head
Plant size (employees): 50-200, 200-1000, 1000+
Industries: any plant
Works well with: Kanban (pull system), Theory of Constraints (drum-buffer-rope), Kaizen (continuous improvement), SMED (quick changeover)
Common pitfall: A map without follow-up kaizen changes nothing; big headline numbers usually bundle several tools
Government support in India: VSM is in MSME Lean scheme curriculum
Last verified: 17 Oct 2026

Published results for Value Stream Mapping
Metric	Result	Context	Country	Source type	Citation
lead time; WIP; cost	lead time -27%; WIP -27% to -32%; INR 2,17,728 value-added cost saving	small-scale industry, Kerala	IN	Peer-reviewed study	Menon B.R., Shalij P.R., Kiron K.R., Sreejith J., Sajeesh P. (2020). Cost value stream mapping as a lean assessment tool in a small-scale industry. IJPQM 30(1):72-91
lead time; WIP; scrap	lead time -81%; WIP -91%; scrap -90%	automobile rubber components (oil seals); bundled with new oven, auto-trimming and kanban	IN	Peer-reviewed study	Pradeep A., Balaji K. (2022). Reduction of lead time in an automobile rubber components manufacturing process through value stream mapping. Proc IMechE Part E

Training in India for Value Stream Mapping
Provider	Programme	Format	Duration	Fee	Subsidy	Cities	For
National Productivity Council (NPC) - e-LEAP	Value Stream Mapping	online	self-paced	Rs.1500		online	plant head, shop manager
National Productivity Council (NPC) - e-LEAP	Rapid Lean Learning Course	online	self-paced	Rs.7080		online	plant head, shop manager
National Productivity Council (NPC)	Operational Excellence in Manufacturing: Lean, TPM & Industry 4.0	classroom	5 days			Puri	plant head, shop manager, maintenance head
Ministry of MSME - MSME Competitive (LEAN) Scheme (implementing agencies QCI, NPC)	MSME Competitive LEAN Scheme: Basic / Intermediate / Advanced levels	handholding/consulting	Basic ~2 months (self-paced LMS + pledge); Intermediate/Advanced with lean consultant	Basic free	Govt bears 90% of lean-consultant fee for Intermediate/Advanced (per scheme guidelines)	pan-India (online LMS + in-plant)	owner/MD, plant head, shop manager, supervisor
CII Institute of Quality	Lean Six Sigma hand-holding & implementation; cost-saving projects; advanced programmes for senior management	handholding/consulting	engagement-based			Bengaluru (pan-India delivery)	owner/MD, plant head, quality head
CII Naoroji Godrej Centre of Manufacturing Excellence (CII CME), Mumbai	In-house programmes for companies (curated knowledge modules / coaching): lean, 5S, Kaizen & 3M, cost reduction, safety	in-plant	tailored			Mumbai (delivered pan-India)	plant head, shop manager, supervisor
IMTMA Training (Indian Machine Tool Manufacturers' Association)	World Class Manufacturing - What, Why and How; Tools and Techniques	classroom	2 days			Bengaluru	owner/MD, plant head
ACMA Centre for Technology (ACT) - ACMA Cluster Programme	ACMA Cluster Programme (Foundation QCD cluster, Lean, TPM, Zero-Defect, MFCA, Low-Cost Automation, Energy Efficiency, Safety, Digital)	handholding/consulting	multi-month cluster (duration not printed in source)			auto-component hubs (Pune, NCR, Chennai etc.)	owner/MD, plant head, shop manager
ACMA (Automotive Component Manufacturers Association of India)	E-learning: Material Flow Cost Accounting (MFCA) incl. MFCA in Kaizen and supply chain	online	self-paced modules			online	plant head, quality head
IIM Mumbai (formerly NITIE) - Open MDP	Manufacturing & Operational Excellence	online	3 days / 18 hours		Bulk discount for 5+ participants from same organisation	online	plant head, shop manager, quality head, maintenance head
IIT Kanpur + IIM Calcutta + IIT Madras	PGPEX-VLM: Post Graduate Program for Executives - Visionary Leadership in Manufacturing	classroom	1 year full-time residential (incl. Japan immersion)			Kanpur / Kolkata / Chennai	plant head, shop manager

Vendor-managed inventory (VMI)

Planning

Also known as: VMI; supplier-managed inventory; consignment stock with supplier replenishment; continuous replenishment
Family: Planning
What it fixes: Supplier sees your stock and usage and refills to agreed min/max levels himself, instead of you raising every purchase order
Symptoms on the floor: Suppliers deliver late or with defects; Raw material runs out - or too much is lying around; Workers wait for material, cranes or instructions; Dispatch dates keep slipping
Measure before and after: Raw-material/packaging stock days; stock-outs or line stops for material per month; total inventory cost; supplier fill rate %
How to get the baseline: Stores ledger: daily closing stock per item vs consumption (days of cover), count of production stoppages/shortage slips for missing material, and PO count per month for the selected items
Who leads it: plant head
Plant size (employees): 200-1000, 1000+
Industries: Auto and auto components, Forging, casting and sheet metal, Food and FMCG, Packaging and printing
Do first: ABC/XYZ inventory classification, Supplier development
Works well with: Kanban (pull system), In-plant milk-run with supermarket, Demand-Driven MRP (DDMRP), Sales and Operations Planning (S&OP), Just-in-Time (JIT) production and purchasing, ABC/XYZ inventory classification
Common pitfall: VMI works only with trust and shared data; managers expecting big cost savings are often disappointed - the main gain is service level and fewer stock-outs
Last verified: 17 Oct 2026

Published results for Vendor-managed inventory (VMI)
Metric	Result	Context	Country	Source type	Citation
downstream inventory level	VMI decision-transfer reduces inventory levels by 7% on average	econometric analysis of item-level data from distributors with actual VMI programmes vs information-sharing only (US); effect beyond information sharing.	US	Peer-reviewed study	Dong Y., Dresner M., Yao Y. (2014). Beyond Information Sharing: An Empirical Analysis of Vendor-Managed Inventory. Production and Operations Management 23(5):817-828
stockouts	VMI decision-transfer reduces stockouts by 31% on average (benefit mostly after first year)	same distributor item-level dataset (US); stockout reduction more likely realised after the first year of implementation.	US	Peer-reviewed study	Dong Y., Dresner M., Yao Y. (2014). Beyond Information Sharing: An Empirical Analysis of Vendor-Managed Inventory. Production and Operations Management 23(5):817-828

Training in India for Vendor-managed inventory (VMI)
Provider	Programme	Format	Duration	Fee	Subsidy	Cities	For
IMTMA Training (Indian Machine Tool Manufacturers' Association)	Materials Management and Inventory Control	classroom	2 days			Bengaluru	plant head, shop manager

Visual management

Lean/TPS

Also known as: visual factory; visual control; KPI boards; production boards; floor marking; shadow boards
Family: Lean/TPS
What it fixes: Make the plan, actual output, problems and standards visible on boards and floor markings so anyone sees status at a glance
Symptoms on the floor: I don't know how much my machines actually run; Output swings shift to shift; People waste time looking for tools, dies, gauges; The floor is cluttered, no space to grow; Dispatch dates keep slipping
Measure before and after: Hour-by-hour plan vs actual; OEE; number of problems logged and closed from boards; time to find tools/material
How to get the baseline: For 2 weeks write hourly plan vs actual on paper per line; time with a stopwatch how long it takes to find a die/gauge; count issues currently logged anywhere
Who leads it: shop manager
Plant size (employees): 50-200, 200-1000, 1000+
Industries: any plant
Do first: 5S (workplace organisation)
Works well with: Daily management (tiered daily meetings), OEE measurement (loss tracking), Jidoka and andon (stop-the-line signalling), 5S (workplace organisation), Standardised work, Gemba walk
Common pitfall: Boards are put up once and not updated daily, so within weeks nobody trusts or reads them
Last verified: 17 Oct 2026

Published results for Visual management
Metric	Result	Context	Country	Source type	Citation
Improvement memos raised from visual control tables	61 improvement memos, 39% fully implemented (24 months; bundle with SMED, 5S, TPM; OEE 87.9% to 92.3%)	Leading confectionery producer, >25,000 t/year, 24-month lean programme	RS	Peer-reviewed study	Djekic, I., Zivanovic, D., Dragojlovic, S., Dragovic, R. (2014). Lean Manufacturing Effects in a Serbian Confectionery Company - Case Study. Organizacija 47(3):143-152

Training in India for Visual management
Provider	Programme	Format	Duration	Fee	Subsidy	Cities	For
National Productivity Council (NPC) - e-LEAP	5S	online	self-paced	Rs.250		online	shop manager, supervisor, operator
Ministry of MSME - MSME Competitive (LEAN) Scheme (implementing agencies QCI, NPC)	MSME Competitive LEAN Scheme: Basic / Intermediate / Advanced levels	handholding/consulting	Basic ~2 months (self-paced LMS + pledge); Intermediate/Advanced with lean consultant	Basic free	Govt bears 90% of lean-consultant fee for Intermediate/Advanced (per scheme guidelines)	pan-India (online LMS + in-plant)	owner/MD, plant head, shop manager, supervisor
Quality Circle Forum of India (QCFI)	5S training, implementation & certification (in-plant)	in-plant	engagement-based			at client plant	shop manager, supervisor, operator
IMTMA Training (Indian Machine Tool Manufacturers' Association)	Lean Daily Work Management (DWM) System	classroom	1 day	Rs. 2999/- +18% GST	Group concession 10% for 3-5, 20% for 6+ delegates (as printed on IMTMA pages)	Bengaluru	plant head, shop manager, supervisor

Work sampling

Measurement

Also known as: activity sampling; ratio delay study; snap-reading method
Family: Measurement
What it fixes: Take many random snapshots of people and machines (working, waiting, idle) to see what share of the shift is really productive
Symptoms on the floor: I don't know how much my machines actually run; Workers wait for material, cranes or instructions; Too many people for the output we get; Overtime keeps rising, output does not; Machines run slower than they should
Measure before and after: % of observations productive for operators and machines; OEE; crew size per line/shift
How to get the baseline: Walk the floor at random times over several days with a check sheet, tick each person/machine as working, waiting for material, idle, setup or breakdown; ~2,000 observations give a reliable %
Who leads it: plant head
Plant size (employees): 50-200, 200-1000, 1000+
Industries: Machining and engineering, Assembly lines, Food and FMCG, Process industries
Works well with: Time and motion study, OEE measurement (loss tracking), IoT machine monitoring, Standardised work, Gemba walk, Assembly line balancing
Common pitfall: Observations at fixed predictable times or too few rounds give a flattering, wrong picture
Last verified: 17 Oct 2026

Published results for Work sampling
Metric	Result	Context	Country	Source type	Citation
OEE of production line	OEE 32% -> 56% (+24 points); workers productive 50.2% of time at baseline (2,200 observations)	beverage manufacturer, fruit juice production line, 24 workers over 2 shifts; actions: work-sequence rearrangement, removing unnecessary activities, standard procedures		Case study	Lee K.S. (2014). Work sampling. APO Productivity Methodologies, Tools, and Techniques (Asian Productivity Organization web column)
crew size for two shifts	crew reduced from 24 to 15 workers for two shifts	beverage manufacturer, fruit juice production line		Case study	Lee K.S. (2014). Work sampling. APO Productivity Methodologies, Tools, and Techniques (Asian Productivity Organization web column)

Training in India for Work sampling
Provider	Programme	Format	Duration	Fee	Subsidy	Cities	For
National Productivity Council (NPC) - e-LEAP	Industrial Engineering Tools for Productivity Improvement	online	self-paced	Rs.2000		online	shop manager, supervisor
Indian Institution of Industrial Engineering (IIIE), Navi Mumbai	Graduateship in Industrial Engineering (IE Grad) - membership-based distance examination	certification	multi-year, exam sessions (Aug 2026 session running)			distance / exam centres	shop manager, supervisor

Workstation ergonomics

People/standard work

Also known as: participatory ergonomics; workstation redesign; ergonomic risk assessment (RULA/REBA/OCRA)
Family: People/standard work
What it fixes: Redesign work height, reach, jigs, lifting and layout so operators work faster with less strain, fatigue and injury
Symptoms on the floor: Machines run slower than they should; Too many people for the output we get; Overtime keeps rising, output does not; Too much rejection and rework; Output swings shift to shift
Measure before and after: Pieces per operator-hour; cycle time per piece; rejection %; musculoskeletal complaints / injury days; ergonomic risk score (RULA/REBA/OCRA)
How to get the baseline: Stopwatch cycle time and count output per operator for a few shifts; tally pain complaints and first-aid/injury register; photo/video of postures scored with a RULA sheet
Typical duration: 104 to 104 weeks
Who leads it: shop manager
Plant size (employees): 50-200, 200-1000, 1000+
Industries: Machining and engineering, Forging, casting and sheet metal, Electrical and electronics, Assembly lines, Textiles and garments, Packaging and printing
Works well with: 5S (workplace organisation), Standardised work, Time and motion study, Cellular manufacturing (one-piece flow cells), Kaizen (continuous improvement)
Common pitfall: Buying chairs and mats without involving operators and without re-measuring output gives comfort claims but no productivity proof
Last verified: 17 Oct 2026

Published results for Workstation ergonomics
Metric	Result	Context	Country	Source type	Citation
productivity	+16% productivity and -22.7% upper-limb overload risk (OCRA) in about two years	manufacturing company, production line; ergonomics training + workstation layout and work organisation changes	IT	Peer-reviewed study	Battevi, N., Vitelli, N. (2013). Ergonomics and productivity: an example applied to a manufacturing industry. La Medicina del Lavoro 104(3):203-212
output quantity; good-quality output	Holes drilled +22%, good holes +50% vs conventional workstation	repetitive drill-press operation, experimental workstation redesign (jig/fixture, chair, work height, reach, training)		Peer-reviewed study	Das, B., Shikdar, A.A., Winters, T. (2007). Workstation redesign for a repetitive drill press operation: A combined work design and ergonomics approach. Human Factors and Ergonomics in Manufacturing 17(4):395-410
products per person per day	Products per person per day +44%, order lead time -46%, workspace -44% (participatory approach)	participatory ergonomics in assembly, reported in review citing van Rhijn et al. (2005)		Peer-reviewed study	Vink, P., Koningsveld, E.A.P., Molenbroek, J.F. (2006). Positive outcomes of participatory ergonomics in terms of greater comfort and higher productivity. Applied Ergonomics 37(4):537-546

Training in India for Workstation ergonomics
Provider	Programme	Format	Duration	Fee	Cities	For
National Productivity Council (NPC) - e-LEAP	Safety Management Course	online	self-paced	Rs.1800	online	plant head, shop manager, supervisor
National Productivity Council (NPC) - e-LEAP	Hazard Identification and Risk Analysis	online	self-paced	Rs.250	online	shop manager, supervisor
Indian Institution of Industrial Engineering (IIIE), Navi Mumbai	Graduateship in Industrial Engineering (IE Grad) - membership-based distance examination	certification	multi-year, exam sessions (Aug 2026 session running)		distance / exam centres	shop manager, supervisor

Factory Improvement Methods Navigator

About this data

Every method as text

5-Why root cause analysis

5S (workplace organisation)

8D problem solving

A3 problem solving

ABC/XYZ inventory classification

Assembly line balancing

Automated visual inspection (machine vision / AI camera)

Autonomous maintenance

Cellular manufacturing (one-piece flow cells)

CMMS / digital maintenance log

Compressed-air leak detection and repair

CONWIP (constant work-in-process)

Cost of Poor Quality (COPQ) measurement

Daily management (tiered daily meetings)

Demand-Driven MRP (DDMRP)

Design of Experiments (DOE / Taguchi)

Employee suggestion system

Energy management system and energy audits

Finite-capacity scheduling (APS)

Gemba walk

Heijunka (production levelling)

Hoshin kanri (policy deployment)

In-plant milk-run with supermarket

IoT machine monitoring

Ishikawa (fishbone) cause-and-effect diagram

ISO 9001 quality management system

Jidoka and andon (stop-the-line signalling)

Just-in-Time (JIT) production and purchasing

Kaizen (continuous improvement)

Kanban (pull system)

Line-side kitting

Measurement System Analysis (Gauge R&R)

OEE measurement (loss tracking)

Overall Labour Effectiveness (OLE)

Pareto analysis (80/20)

Plant layout redesign (Systematic Layout Planning)

Poka-yoke (mistake-proofing)

Predictive maintenance (condition monitoring)

Preventive (planned) maintenance

Process FMEA (PFMEA)

Quality circles

Quick Response Manufacturing (QRM) with POLCA

Reliability-centred maintenance (RCM)

Sales and Operations Planning (S&OP)

Six Sigma (DMAIC)

Skill matrix and cross-training

SMED (quick changeover)

Spaghetti diagram (travel mapping)

Standardised work

Statistical Process Control (SPC)

Supplier development

Takt time planning

Theory of Constraints (drum-buffer-rope)

Time and motion study

TPM (Total Productive Maintenance)

TWI Job Instruction

Value analysis / value engineering

Value Stream Mapping

Vendor-managed inventory (VMI)

Visual management

Work sampling

Workstation ergonomics

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