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agentui-ai/oee-ops

v0.1.0MIT

Compute OEE correctly — TRS, TRG and TRE per AFNOR NF E 60-182, mapped to Nakajima's OEE/OOE/TEEP and ISO 22400. Time buckets as interval sets, exact A x P x Q factorisation, correct roll-ups, loss waterfalls and Pareto. Ships a deterministic benchmark.

Changelog

0.1.0

First release. The oee-ops skill: the NF E 60-182 time hierarchy and the three rates, nine documented ways an OEE comes out wrong while looking reasonable, interval-set arithmetic for the time buckets, loss waterfall and Pareto by cause, a shift analyser CLI, and a deterministic benchmark on round numbers.

impactOfRemoving is labelled a model rather than a measurement: removing a stop alone moves TRS by nothing, so the projected gain rests on the assumption that recovered time runs at the window's own performance and quality. Any tool that reports a gain is making that assumption whether or not it says so.