How do you calculate OEE?

Multiply availability by performance by quality. With 420 hr uptime out of 480 hr planned, 92% performance and 98% quality, availability is 87.5% and OEE works out to 78.89%.

What is a good OEE score?

85% is considered world-class for discrete manufacturing, 60% is typical, and 40% is common for plants just starting to measure. The example here at 78.89% is above average but below world-class.

What is the difference between availability and OEE?

Availability is just the first factor — uptime ÷ planned time, here 87.5%. OEE multiplies availability by performance and quality, which is why it drops to 78.89% even though the machine ran 87.5% of its scheduled time.

Why is the performance factor so important to OEE?

Performance is the easiest factor to get wrong. Using nameplate speed instead of a validated ideal cycle time inflates the loss. Here a 92% performance factor pulls OEE down to 78.89%; a 95% factor would have read 81.46%.

What are the six big losses in OEE?

Breakdowns and setup/adjustment (availability); idling/minor stops and reduced speed (performance); startup rejects and process defects (quality). OEE rolls all six into one number so you can prioritize.

OEE measures effectiveness against planned production time; TEEP measures it against all 24/7 calendar time. TEEP is always lower and reveals capacity you could unlock by adding shifts, whereas OEE reveals loss within the schedule you already run.

OEE & Factory Performance calculator

OEE Calculator

OEE — Overall Equipment Effectiveness — is the single most-used metric in manufacturing for grading how well an asset turns scheduled time into good product. It multiplies three independent losses: availability (downtime), performance (speed), and quality (defects and rework). Plant managers, continuous-improvement teams, and operators use it because it exposes hidden capacity: a machine that looks fully booked may run at 79% OEE once slow cycles and scrap are counted. Unlike a raw utilization number, OEE tells you which of the three losses to fix first, making it the foundation of TPM and lean programs.

What this calculator does

Calculate overall equipment effectiveness from availability, performance, and quality factors.
Use it when oee in oee and factory performance is being reviewed for OEE or asset utilization in oee and factory performance.
It computes OEE as availability (uptime ÷ planned available time) multiplied by your performance and quality factors.

Formula used

OEE = availability × performance factor × quality factor

Inputs explained

Operating (run) time: Time the equipment actually ran.
Planned production time: Scheduled production time in the period.
Performance: Actual vs rated speed during run time.
Quality (first-pass yield): Good units as a share of total produced.

How to use the result

Use it on any machine, line, or cell, per shift or per day, to benchmark effectiveness and locate the dominant loss.
OEE is only as honest as its inputs — especially the ideal cycle time behind the performance factor. Garbage in (nameplate speed, miscounted scrap) produces a confidently wrong OEE.

Current U.S. benchmarks

U.S. manufacturing runs at 75.6% of capacity (Federal Reserve, May 2026). New factory orders are up 2.3% year over year (Census).

Common questions

How do you calculate OEE? Multiply availability by performance by quality. With 420 hr uptime out of 480 hr planned, 92% performance and 98% quality, availability is 87.5% and OEE works out to 78.89%.
What is a good OEE score? 85% is considered world-class for discrete manufacturing, 60% is typical, and 40% is common for plants just starting to measure. The example here at 78.89% is above average but below world-class.
What is the difference between availability and OEE? Availability is just the first factor — uptime ÷ planned time, here 87.5%. OEE multiplies availability by performance and quality, which is why it drops to 78.89% even though the machine ran 87.5% of its scheduled time.
Why is the performance factor so important to OEE? Performance is the easiest factor to get wrong. Using nameplate speed instead of a validated ideal cycle time inflates the loss. Here a 92% performance factor pulls OEE down to 78.89%; a 95% factor would have read 81.46%.
What are the six big losses in OEE? Breakdowns and setup/adjustment (availability); idling/minor stops and reduced speed (performance); startup rejects and process defects (quality). OEE rolls all six into one number so you can prioritize.

Last reviewed 2026-05-12.