A variables-type multiple-dependent-state sampling plan based on the lifetime performance index under a Weibull distribution

• Published in: Annals of operations research Vol. 311; no. 1; pp. 381 - 399
• Main Authors: Wang, To-Cheng, Wu, Chien-Wei, Shu, Ming-Hung
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.04.2022; Springer; Springer Nature B.V
• Subjects: Acceptance tests; Advanced manufacturing technologies; Business and Management; Combinatorics; Dependent variables; Design; Design parameters; Failure; Industrial engineering; Lifetime; Manufacturing; Methods; Operations research; Operations Research/Decision Theory; Optimization models; Performance indices; Product design; Product quality; Product testing; S.I. : Reliability Modeling with Applications Based on Big Data; Sampling; Suppliers; Theory of Computation; Variables; Verification; Weibull distribution; Taiwan; OC curve; Lifetime performance index; Weibull distribution; Acceptance sampling plan; Type-II right censoring; Multiple-dependent-state sampling plans

Verification and validation of product quality highly affects the success of product design and manufacturing processes as well as the long-term collaboration between buyers and suppliers. Lifetime testing for acceptance is the main bottleneck in verification and validation and often requires consid...