Analyzing unreplicated gauge R&R studies

Michael S. Hamada, Connie M. Borror

Research output: Contribution to journalArticle

1 Scopus citations

Abstract

In this article, we show how to analyze an unreplicated gauge repeatability and reproducibility (R&R) study and show the limitations caused by the lack of replication. We use a Bayesian approach and demonstrate it with studies in which the true part or item values either are unknown or known. WinBUGS code is provided for these examples.

Original languageEnglish (US)
Pages (from-to)543-551
Number of pages9
JournalQuality Engineering
Volume24
Issue number4
DOIs
StatePublished - Oct 1 2012

Keywords

  • Bayesian methods
  • measurement system assessment
  • quality metrics

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • Industrial and Manufacturing Engineering

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