Toward Gauge R&R Guidelines for Statistically Designed Experiments

With today’s push for Six Sigma, the issue of measurement errors in quality assurance is now widely discussed and as a result naive to theoretically sophisticated suggestions have emerged. This has led to formulating Gauge R&R guidelines by AIAG and others for the recommended choice and use of gauges to measure product characteristics. This paper extends that effort, linking the overall power of ANOVA tests in DOE to the number of treatments employed, parts produced in each treatment, and measurements taken on each part. It invokes Patnaik’s work (1949) to explore how these quantities may be optimized while conducting DOE to achieve a pre-stated detection power.