Analyzing unreplicated gauge R&R studies

Michael S. Hamada; Connie M. Borror

doi:10.1080/08982112.2012.714338

Analyzing unreplicated gauge R&R studies

Michael S. Hamada, Connie M. Borror

Mathematical and Natural Sciences, School of (SMNS)

Research output: Contribution to journal › Article › peer-review

2 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 language	English (US)
Pages (from-to)	543-551
Number of pages	9
Journal	Quality Engineering
Volume	24
Issue number	4
DOIs	https://doi.org/10.1080/08982112.2012.714338
State	Published - 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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10.1080/08982112.2012.714338

Cite this

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Analyzing unreplicated gauge R&R studies

Abstract

Keywords

ASJC Scopus subject areas

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