PPolySim OS

Overall Equipment Effectiveness

One number tells a factory how well a machine really runs. OEE multiplies uptime, speed, and quality — and shows why "pretty good" on each still adds up to mediocre.

Overall Equipment EffectivenessLive
Overall Equipment Effectiveness
85%
Availability90%
Performance95%
Quality99%
90% × 95% × 99% = 84.6%

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OEE is the single number factories use to judge a machine, multiplying three losses: availability (uptime vs planned), performance (actual vs ideal speed), and quality (good parts vs total). Because they multiply, a chain of "pretty good" factors yields a mediocre result — 90% × 95% × 99% is only 85%. That 85% is the world-class benchmark.

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Data Inspector

OEE84.6%
Ratingtypical
World-class85%

Governing equation

Reading this result: availability is the weakest link at 90%; because the three factors multiply, lifting the lowest one moves OEE far more than polishing a factor that is already high.

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How it works

Overall Equipment Effectiveness is the product of three factors: availability (uptime versus planned time), performance (actual versus ideal speed), and quality (good parts versus total). Because they multiply, small losses compound — 90% × 95% × 99% is only 85%, which happens to be the world-class benchmark. OEE pinpoints exactly which loss to attack first.

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The math, the assumptions, real-world uses, or a code translation — explained for this exact simulation.

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Frequently asked questions

Is this OEE calculator tool really free?
Yes. Overall Equipment Effectiveness runs entirely in your browser using your device's own compute, so local use is free forever. You only pay Compute Tokens if you scale a job to the cloud.
Do I need to install anything?
No. Everything runs client-side in a modern browser — no downloads, no license, no account required to start.
Can I save or share my simulation?
Create a free account to save projects, and use a shareable embed or minted DOI to publish a live, interactive version anywhere.
How accurate are the results?
The solver uses established numerical methods, but results are for research and educational purposes and should be validated against experiment or professional review before you rely on them.