How much of the labour you pay for turns into good output?

OLE (overall labour effectiveness) tells you what share of the operator time you pay for turns into good output at standard pace. It is availability × performance × quality, measured on people rather than machines. Assume 40 operators scheduled for 480 minutes who lose 72 minutes each to waiting and idle time, produce at 80% of standard pace and get 96.5% of pieces right first time: their OLE is about 65.6%. Assume ₹125 an hour all-in and 300 shifts a year, and the gap between 65.6% and a 75% target is about ₹11.25 lakh of labour cost a year. This calculator works it out from one shift's numbers.

How OLE differs from OEE

The OEE calculator asks how well a machine used its planned time. OLE asks the same question about the people. The structure is the same, three factors multiplied together, but each factor is measured differently:

Use OEE where the machine sets the pace: a CNC lathe, a moulding press, a corrugator. Use OLE where people set the pace: a sewing line, a wire-harness board, manual assembly, packing by hand. On a line where operators tend machines, run both. A machine can show high OEE while its operator stands waiting half the shift, and OLE is where that shows.

How the calculator works

The calculator takes nine inputs:

• Operators on the line or section. Everyone on the roster for this shift whose output you are measuring. Leave out supervisors, mechanics and helpers unless their minutes are part of the standard time.
• Scheduled minutes per operator (min per shift). Paid shift time minus planned breaks such as lunch and tea.
• Minutes lost per operator. The average time an operator was scheduled but not working: waiting for bundles, material or a mechanic, a late start after the bell, early wash-up, idle time between jobs. If an absent operator is not replaced, count that person's full shift as lost minutes, spread across the group.
• Pieces made. Everything the line produced in the shift, good and bad.
• Standard minutes per piece (SAM). The work content of one piece at a normal pace, with allowances. In garments this is the SAM; elsewhere it is the standard time from a time study. The method for setting it is in the ILO's Introduction to Work Study.
• Good pieces. Pieces that passed first time, without alteration or rework.
• Target OLE (%). The OLE you want this line to reach. Set it from your own best weeks on this line, not from a figure someone quotes for a different product.
• Labour cost per hour (₹, all-in). Wage plus PF, ESI, bonus, leave and canteen, divided by paid hours.
• Shifts a year. How many shifts like this one the line runs.

The formulas:

Scheduled minutes = operators × scheduled minutes per operator
Worked minutes = operators × (scheduled minutes − lost minutes)
Availability = worked minutes ÷ scheduled minutes
Performance = (pieces made × SAM) ÷ worked minutes (capped at 100%)
Quality = good pieces ÷ pieces made
OLE = availability × performance × quality
Labour cost a year = scheduled minutes ÷ 60 × labour cost per hour × shifts a year
Gap to target (₹ a year) = (target OLE − OLE) × labour cost a year (zero if you are at or above target)

As long as performance stays within the 100% cap and good pieces do not exceed pieces made, the three factors multiply out to a simple check: OLE equals the standard minutes of good pieces divided by the scheduled minutes. If that ratio and the calculator disagree, an input is wrong.

The rupee figure is the share of the labour bill that bought no good standard output, above what your target allows. You can spend it two ways: the same people make more good pieces, or the same output needs fewer paid hours. The calculator does not assume you will cut headcount.

Worked example (India)

A 40-operator sewing line on a basic garment. All figures are assumptions for illustration; they are the calculator's default inputs.

With these defaults the calculator shows OLE of 65.6% and a gap to target of ₹11.25 lakh a year.

Look at where the loss sits before choosing a fix. Here availability costs 15 points and performance 20, while quality costs under 4. Seventy-two minutes a day of waiting and late starts is a planning and discipline problem: bundles not fed in time, a slow start after lunch, a line that stops when one machine breaks. Slow pace at the machine is a skill, method or line-balance problem. Raising availability from 85% to 90% alone, with pace and quality unchanged, lifts OLE to about 69.5%, about two-fifths of the way to target.

What this number does not tell you

• Whether your SAM is honest. Performance is measured against standard minutes. A loose SAM makes every line look fast; a tight one makes good operators look slow. If performance comes out above 100%, the calculator caps it, and the SAM needs checking.
• Where the lost minutes went. The calculator takes one number for lost time. The fix depends on whether it was waiting for work, a breakdown, a late start, or an empty seat. The non-productive-time map breaks it down for a sewing floor.
• Line balance. An unbalanced line shows up as low performance across the group even when most operators work at pace, because they wait on the bottleneck. The takt and line balancing calculator finds that operation.
• The cost of the bad pieces themselves. Quality here counts only the operator minutes spent on pieces that failed. Alteration time, scrapped fabric or parts and late shipments come on top. The rework cost calculator puts a figure on those.
• What a camera cannot see. A camera can show when operators started work, how long a line stood waiting for bundles or a mechanic, and how many people were actually at their stations, which are the honest version of the lost-minutes input. It cannot set your SAM, judge whether a stitch passes inspection, or tell you why someone was absent. Those come from your industrial engineer, your quality checker and your HR records.

Related guides

• OEE calculator
• OEE Explained for Indian Factories (with a Rupee Example)
• What 1% of Sewing Efficiency Is Worth in ₹ (200, 500, 1000 Operators)
• UPH, UPPH and Line Balancing with Indian Wage Maths
• Wire Harness Plants in India: Labour Productivity and the Waiting Problem
• Late Start and Early Wash-Up: First Chip vs Punch-In in an Indian Machine Shop
• 8–12% Daily Absenteeism: Rebalancing a Sewing Line and the ₹ Cost of Floaters

FAQ

What is the OLE formula? OLE = availability × performance × quality. Availability is time worked ÷ time scheduled, performance is standard minutes produced ÷ minutes worked, and quality is good pieces ÷ pieces made. For 40 operators losing 72 of 480 minutes, producing 13,056 standard minutes with 1,050 good pieces out of 1,088, OLE is 65.6%.

What is the difference between OLE and OEE? OEE measures how well a machine used its planned time; OLE measures how well the operators' paid time turned into good output. OEE's performance uses the machine's ideal cycle time, OLE's uses standard minutes per piece. Use OLE where people set the pace, OEE where the machine does.

Is OLE the same as line efficiency? Not quite. Line efficiency in garments is usually standard minutes produced ÷ minutes attended, which mixes availability and performance and counts every piece, good or bad. OLE splits time lost from pace lost and charges for bad pieces. A line at 68% efficiency with 96% good pieces has an OLE of about 65%.

How do I count absent operators? If the absent operator was replaced by a floater, count the floater as present and leave lost minutes as they are. If the seat stayed empty, keep the operator in the headcount and add the full shift to lost minutes, spread across the group. That way OLE shows what absence costs the line.

Mama reads a factory's existing cameras and each morning tells the owner where line and operator hours were lost the day before: late starts, lines waiting for work, empty stations, the lost-minutes figure this calculator depends on. Mama can draw a camera plan for the line or section you want to measure. Leave an email or phone in the form below.