Bayesian Process Capability Analysis
Bayesian Process Capability Analysis integrates Bayesian inference with classical capability indices (Cp, Cpk, Cpm) to estimate how well a production process meets specification limits. Rather than relying solely on observed sample data, it incorporates prior knowledge about process parameters — yielding more stable and credible estimates of process capability, especially under small sample sizes common in manufacturing and quality engineering.
Kilderegistrering
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- Kotz, S., & Johnson, N. L. (2002). Process Capability Indices — A Review, 1992–2000. Journal of Quality Technology, 34(1), 2–19. · URL
- Vannman, K., & Kulahci, M. (2006). Bayesian Estimation of Process Capability Indices. Quality and Reliability Engineering International, 22(4), 393–412. · URL
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