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What is OEE

Definition

What is OEE?

Overall Equipment Effectiveness, a metric that combines the availability, performance and quality of a machine or line. Captia Consulting uses it as the starting point to prioritise measurable improvements before proposing technology.

OEE (Overall Equipment Effectiveness) measures which fraction of planned production time becomes good output at the equipment's ideal speed. It multiplies three factors (availability, performance and quality), condensing the losses of a machine or a line into a single percentage. ISO 22400-2 standardises it as a manufacturing KPI.

What OEE is and how it works

Formalised by Seiichi Nakajima within TPM and standardised in ISO 22400-2, OEE quantifies the six big losses: breakdowns, setups, micro-stops, reduced speed, defects and startup scrap. Availability captures downtime, performance captures speed losses and quality captures rejects. Because the factors multiply, three seemingly healthy 90 % values yield a 72.9 % OEE.

For an industrial SME its value lies in the decomposition: it shows where lost time is buried and which improvement to attack first. Measuring it needs only three signals (run/stop state, piece counter, reject counter) often already available in the line's PLC or SCADA, or, in a machine shop, published by the machine tools over MTConnect. It is the usual starting point of an operational diagnosis.

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Frequently asked questions

What does OEE stand for?
OEE stands for Overall Equipment Effectiveness: the fraction of planned production time converted into good output at the ideal speed of the equipment. It is a percentage obtained by multiplying availability, performance and quality.
What is a good OEE value?
The Nakajima world-class reference is 85 % (90 % × 95 % × 99 %), but it is orientative. Many well-run plants operate between 65 % and 85 %. Measuring with strict definitions and improving your own series over time matters more than chasing an external benchmark.
What data is needed to measure OEE?
Three signals per machine: run/stop state with downtime reason, total piece counter and reject counter, plus a data master with the ideal cycle time per product. They can be logged manually or captured automatically from the PLC or SCADA, which is the reliable path.
Can OEE exceed 100 %?
Arithmetically yes, but it always signals a definition error: an ideal cycle time set too slow, real downtime classified as planned, or double-counted pieces. The correct reaction is to audit the ideal cycle time and downtime records.

Keep reading

This term belongs to the scope of Captia Consulting. You can find every other definition in the full glossary.