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

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...

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Veröffentlicht in:	Annals of operations research Jg. 311; H. 1; S. 381 - 399
Hauptverfasser:	Wang, To-Cheng, Wu, Chien-Wei, Shu, Ming-Hung
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.04.2022 Springer Springer Nature B.V
Schlagworte:	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
ISSN:	0254-5330, 1572-9338
Online-Zugang:	Volltext
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