Glossary Updates12 new terms added to the glossaries · October 2, 2026, 22:44 CEST
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Glossary · Data, timing and communication

Key Performance Indicator (KPI)

Also known as: KPI, Key figure

German: Key Performance Indicator (KPI)

In manufacturing and automation, a key performance indicator (KPI) is a defined, measurable value calculated from production data that shows how well a process, machine or organization achieves a goal, for example overall equipment effectiveness (OEE), availability or scrap rate.

  • Data and interfaces

In one sentence

A key performance indicator (KPI) is a defined, measurable value, such as OEE or scrap rate, that shows how well a process meets a goal.

Example

The line dashboard shows OEE per shift, calculated from availability, performance and quality counts reported by each machine.

How it applies

  • Engineering: A KPI needs an exact formula, data sources, time base and handling of special states (planned downtime, setup); ISO 22400-2 defines KPIs for manufacturing operations management.
  • Data: Wrong or stale data produce wrong KPIs; timestamps and quality status of the source signals matter.
  • Documentation: When a machine reports KPIs, the documentation team should document their definitions and the machine states they depend on, so customers can compare values correctly.
  • Interpretation: KPIs compared between plants or machines are only meaningful when the same definitions are used.

KPI vs. performance requirement

A KPI measures achieved performance in operation. A Performance requirement specifies what the system must achieve and is verified before handover.

By knowledge.aitechdoc.world · Published September 26, 2026 · Last reviewed

Source: AI TechDoc Knowledge editorial definition, based on ISO 22400-2 (key performance indicators for manufacturing operations management)

Definitions follow the cited standards and specifications. Where a source is a copyrighted publication, such as an ISO, IEC or EN standard, the definition is a close paraphrase, not a verbatim quotation, so as not to infringe copyright. We recommend reading the original publication. The sections “How it applies” are editorial commentary by AI TechDoc Knowledge and are not part of any standard.

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