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Bayesiansk proceskapabilitetsanalyse

Bayesiansk proceskapabilitetsanalyse integrerer Bayesiansk inferens med klassiske kapabilitetsindeks (Cp, Cpk, Cpm) for at estimere, hvor godt en produktionsproces opfylder specifikationsgrænserne. I stedet for udelukkende at stole på observerede stikprøvedata, inkorporerer den forudgående viden om procesparametre – hvilket giver mere stabile og troværdige estimater af proceskapabilitet, især ved små stikprøvestørrelser, der er almindelige inden for produktion og kvalitetsteknik.

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Kilder

  1. Kotz, S., & Johnson, N. L. (2002). Process Capability Indices — A Review, 1992–2000. Journal of Quality Technology, 34(1), 2–19. link
  2. Vannman, K., & Kulahci, M. (2006). Bayesian Estimation of Process Capability Indices. Quality and Reliability Engineering International, 22(4), 393–412. link

Sådan citerer du denne side

ScholarGate. (2026, June 3). Bayesian Process Capability Analysis. ScholarGate. https://scholargate.app/da/experimental-design/bayesian-process-capability-analysis

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ScholarGateBayesian Process Capability Analysis (Bayesian Process Capability Analysis). Hentet 2026-06-15 fra https://scholargate.app/da/experimental-design/bayesian-process-capability-analysis · Datasæt: https://doi.org/10.5281/zenodo.20539026