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Measure · Tool guide 39 of 40

Process Capability and Process Stability

Stability concerns whether process behaviour is consistent over time under the chosen model. Capability concerns how a suitably characterised process compares with specification requirements. A stable process can be incapable; an apparently acceptable pooled distribution may come from an unstable process.

Expected output: A requirement comparison supported by explicit stability and model checks.

01 · Purpose

Why and when to use it

Use this distinction before predicting conformity or reporting capability indices.

Who takes part?

The measurement owner works with people who understand the process and the recorded data. Statistical or measurement-system decisions should involve someone able to check the assumptions and study design.

02 · Application

How to apply it

Start with an agreed measurement purpose, explicit units and trustworthy observations. Identify missing cases and assumptions before calculating.

  1. Validate measurements and specification meanings.
  2. Inspect time-ordered data with an appropriate stability method.
  3. Investigate changes and define a defensible process population.
  4. Check distribution and sigma-estimation assumptions.
  5. Assess conformity and capability with uncertainty, distinguishing observed performance from future prediction.

03 · Example

A worked measurement example

Original fictional teaching example. Small datasets illustrate the method; they are not proposed as sufficient study sizes. Supplied parameters are assumptions, not estimates from a real process.

ConditionMeaningNext step
Stable, output too wideConsistent process fails requirementsImprove the system and re-establish baseline
Unstable, few failures observedSample looks acceptable but behaviour changesInvestigate changes before relying on capability prediction
Stable and suitable spread/locationPredictive assessment may be defensibleQuantify uncertainty and maintain monitoring
Illustrative normal model: mean 10.5, within sigma 0.5LSL 8USL 12Mean 10.578910111213
Specification limits bound the requirement; this hypothetical density alone does not demonstrate stability. Cp = 1.333, Cpk = 1.000 under the stated assumptions.

04 · Interpretation

What the result tells you

A control chart and a requirement comparison answer different questions. Never replace specification limits with calculated control limits to make the process appear acceptable.

Completion check: A requirement comparison supported by explicit stability and model checks.

05 · Judgement

Mistakes and limitations

Normal-model Cp/Cpk requires an appropriate within-process sigma estimate and distribution treatment. Finite data cannot prove that future conditions will remain unchanged.

07 · Reading

Sources and further reading

The tool list follows the accepted LeanTrainingLab overview and its reference to Six Sigma+Lean Toolset, second edition (Lunau, editor; Springer, 2013). The book chapters were not available for direct review during this build. Explanations, examples and worksheets are original teaching material. Further reading supplies professional background; local conventions are stated explicitly.