OEE (overall equipment effectiveness) shows how much of the planned production time turns into good parts at the ideal speed. It multiplies three ratios β availability, performance and quality β so a line that loses a little on each can still end up far below 100 %.
Planned time minus stops (breakdowns, changeovers, waiting).
85.4% of the planned time became good parts at ideal speed.
Share of planned time the line actually ran.
Speed while running, compared with the ideal cycle.
Share of output that was good the first time.
Biggest loss: performance β look at minor stops and reduced speed first.
Availability = run time / planned production time Performance = (ideal cycle time Γ total count) / run time Quality = good count / total count OEE = Availability Γ Performance Γ Quality Cross-check: OEE = (good count Γ ideal cycle time) / planned production time
A packaging line runs one 8-hour shift. How effective was it?
The shift reached 85.4 % OEE. The biggest single loss is performance (6.8 points): the line ran slower than its ideal cycle, which usually points to minor stops and reduced speed rather than breakdowns.
Paste it into your AI assistant to be walked through the calculation with your own data.
Act as a production engineer and help me calculate OEE for my line. Use exactly these formulas: Availability = run time / planned production time Performance = (ideal cycle time Γ total count) / run time Quality = good count / total count OEE = Availability Γ Performance Γ Quality Cross-check: OEE = (good count Γ ideal cycle time) / planned production time β both results must agree. Rules: 1. Work step by step, convert all times to the same unit first and state the unit. 2. Repeat my numbers first and check the decimal separators. 3. If any value is missing or unclear (especially the ideal cycle time), ask me β never assume one. 4. If performance comes out above 100 %, tell me the ideal cycle time is probably too slow or the count includes rework. 5. Name the biggest of the three losses and suggest where to look first. My data: Planned production time = Run time = Ideal cycle time per part = Total count = Good count =
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Next step Β· DOCAMIN
Turn this into an OEE loss analysis and improvement plan in DOCAMIN.
Open DOCAMIN βLearn the method Β· Academy
Use the PDCA cycle to attack the biggest OEE loss β learn it in our free course.
Start the free course βFigures such as 85 % are commonly cited as a 'world-class' reference point, but they are illustrative rules of thumb, not standards. A meaningful target depends on your process, product mix and how planned time is defined; the trend of your own OEE matters more than any external number.
OEE measures effectiveness during planned production time. TEEP uses all calendar time, so it also shows how much capacity is unused because the line is not scheduled. Some companies use OPE or similar variants that change which losses are included β always state the definition.
Yes, but changeovers then dominate availability, and the ideal cycle time can differ by product. Use the ideal cycle time of each product (or a weighted value) and record changeover time separately so it is not hidden inside 'performance'.
Because the losses compound: a part has to be produced in available time, at speed, and right first time. Averaging 95 %, 93 % and 96 % gives 94.7 %, but the line actually turned only 85.4 % of planned time into good parts.
Last tested: October 2026 Β· Tested with: automated math tests (3+ cases) Β· Reviewed by: Quality for Everyone editorial team
