Designing acceptance single sampling plans: An optimization‐based approach under generalized beta distribution

The availability of information that suppliers possess about the production process, as well technical and economic consequences for customers, encourages development application acceptance sampling plans follow criteria, such Bayesian ones proposed in literature. combination prior knowledge described by distribution empirical based on sample leads to decision accept or reject lot under inspection. main purpose this study was derive attributes a generalized beta following criterion minimize expected total cost quality. Specifically, procedure is define optimal plan characteristics process costs inherent quality product. After methodological aspects are detail, an extensive simulation reported demonstrates how changes according parameters, providing guidance practitioners.