Optimal Selection of the Most Reliable Design Based on Gamma Degradation Processes

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Title:	Optimal Selection of the Most Reliable Design Based on Gamma Degradation Processes
Authors:	Tsai, Chih-chun;Lin, Chien-tai
Contributors:	淡江大學數學學系
Keywords:	Degradation data;Gamma process;Optimal test plan;Reliability;Selection rule
Date:	2014-05-06
Issue Date:	2014-07-31 17:11:38 (UTC+8)
Publisher:	Philadelphia: Taylor & Francis Inc.
Abstract:	Manufacturers are often faced with the problem of how to select the most reliable design among several competing designs in the stage of development.It becomes complicated if products are highly reliable. Under the circumstances, recent work has focused on the study with degradation data by assuming that degradation paths follow Wiener processes or random-effect models. However, it is more appropriate to use gamma processes to model degradation data with monotone-increasing pattern. This article deals with the selection problem for such processes. With a minimum probability of correct decision, optimal test plans can be obtained by minimizing the total cost.
Relation:	Communications in Statistics-Theory and Methods 43(10-12), pp.2419-2428
DOI:	10.1080/03610926.2013.804562
Appears in Collections:	[Graduate Institute & Department of Mathematics] Journal Article

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