A product acceptance decision-making method based on process capability with considering gauge measurement errors (Commun. Stat.-Theory Methods), Prof. Junghye Lee
COMMUNICATIONS IN STATISTICS—THEORY AND METHODS, v.52, no.8, pp.2646 - 2665
Abstract
An acceptance sampling plan is an essential technique for quality assurance in manufacturing industries to help producers and buyers make appropriate decisions regarding many products. By providing the required sample sizes and critical value, the plan streamlines the quality standards process. The recent attention paid to acceptance sampling plans has tended to emphasize the process capability index while neglecting gauge measurement errors (GMEs), which have a direct impact on the fraction of defectives and decision-making processes to be the detriment of stakeholders. Thus, we provide the required sample size and the critical acceptance value considering GMEs. To demonstrate the impact of GMEs on the assessment of a product's lot, we present a real case study on a bilateral switch. Information on the required number of samples for the inspection and the acceptance critical value will help lead to a reliable decision.
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