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OptimalOEE™ Wiki / The six big losses

Technical

The six big losses

Every OEE loss maps to one of six categories, each to a factor, and each to a distinct set of reliability and maintenance root causes. Naming the category is the first step from a symptom to a cause, and to the intervention that moves the number.

The six, by factor, cause and fix

1. Breakdowns AvailabilityUnplanned equipment failure in planned production. The largest category on most assets. The root cause is reliability, addressed by RCM-based maintenance strategy, condition monitoring and defect elimination.
2. Setup and changeover AvailabilityTime lost to changeovers, startups and adjustment; often underreported. Addressed by SMED, standard work and equipment condition at the changeover points.
3. Minor stoppages PerformanceShort stops under five minutes, individually trivial and collectively large. Usually poor condition, sensor faults or material handling. They hide in the speed loss until they are logged.
4. Reduced speed PerformanceRunning below rated speed, the silent loss, normalised over time. Caused by wear, process instability or calibration drift; recovered through condition-based maintenance and precision work.
5. Process defects QualityQuality loss in steady-state running, driven by equipment condition, process capability and material variability.
6. Startup rejects QualityQuality loss at startup and after changeover, tied to the condition at the point of startup and the maturity of startup procedures.

How each loss lands in the number

The six map cleanly onto the three factors, which is what lets a loss waterfall attribute lost time and money to a cause:

This is the hidden factory: capacity that already exists in the asset and is consumed by the six losses rather than by any lack of equipment. OEE measures its size; the loss category points at how to reclaim it.

Losses are not equal

Losses follow a Pareto: a few categories carry most of the lost time. OptimalOEE™ ranks them so effort goes where the recoverable value is, not to whatever was noticed last. An illustrative shift roll-up:

Unplanned stop34m
Changeover22m
Reduced speed18m
Minor stops11m
Startup6m

Illustrative demonstration data. Bar length is relative to the largest loss.

How OptimalOEE™ surfaces them

Every stop is categorised at capture, trended over time, and drillable from the OEE number to the individual event and the raw reading behind it. A stoppage can be re-classified with a reason, and the change is recorded on the audit trail, so the loss picture is both actionable and defensible.