Industrial Engineering

Overall Equipment Effectiveness (OEE)

A measure of how much of the planned time a machine spends making good parts at full speed.

Educational explanation, not professional design advice. Last reviewed 24 October 2026. Disclaimer

In plain English

OEE answers a simple question: of the time a machine was supposed to be making parts, how much was really spent making good parts at full speed? A score of 100% means no stops, no slow running and no scrap. Most real machines score much lower, and OEE shows where the lost time goes.

Technical definition

Overall Equipment Effectiveness is the product of three ratios: availability (run time ÷ planned production time), performance (actual output compared with the ideal output in the run time) and quality (good parts ÷ total parts). It was popularised by Seiichi Nakajima as part of Total Productive Maintenance and is defined as a manufacturing KPI in ISO 22400-2.

How it works and where it is used

The three factors capture the “six big losses”: breakdowns and set-ups (availability), minor stops and reduced speed (performance), and start-up rejects and production rejects (quality). Tracking each factor separately tells you what to improve: maintenance and quick changeover for availability, removing small stoppages for performance, process capability for quality.

Formula

OEE = Availability × Performance × Quality

A = run time ÷ planned time    P = (ideal cycle time × total count) ÷ run time    Q = good count ÷ total count

Equivalent short form: OEE = (good count × ideal cycle time) ÷ planned production time.

Worked example

A shift with 420 min planned time has 47 min of downtime, an ideal cycle of 1 s, and makes 19 271 parts of which 18 848 are good.

  • A = 373 ÷ 420 = 88.8%
  • P = (1 s × 19 271) ÷ 22 380 s = 86.1%
  • Q = 18 848 ÷ 19 271 = 97.8%
  • OEE = 0.888 × 0.861 × 0.978 = 74.8% (check: 18 848 × 1 s ÷ 25 200 s = 74.8%)

In the workshop and in practice

OEE is used on bottleneck machines and lines to measure improvement over time, to prioritise maintenance and changeover work, and to check whether capacity problems come from the machine or from scheduling. It is most useful when the data is collected the same way every shift.

Common mistakes and misconceptions

  • Using a slow “standard” cycle time. Performance must use the ideal (best achievable) cycle time, or OEE looks better than it is.
  • Excluding losses from planned time. Moving set-ups or small stops out of planned time hides them.
  • Comparing OEE between different machines or plants without identical definitions.
  • Chasing the number instead of the losses. The value of OEE is in the breakdown of where time is lost.

Related calculators

Related topics

  • Takt Time — The pace at which one unit must be finished to meet customer demand.

References

  • ISO 22400-2: Automation systems and integration — Key performance indicators (KPIs) for manufacturing operations management — Part 2: Definitions and descriptions
  • S. Nakajima, Introduction to TPM: Total Productive Maintenance, Productivity Press