Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/43863
DC FieldValueLanguage
dc.contributorDepartment of Applied Mathematics-
dc.creatorZhang, M-
dc.creatorYe, Z-
dc.creatorXie, M-
dc.date.accessioned2016-06-07T06:23:35Z-
dc.date.available2016-06-07T06:23:35Z-
dc.identifier.issn2195-4356-
dc.identifier.urihttp://hdl.handle.net/10397/43863-
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.subjectBurn-in testen_US
dc.subjectInverse gaussian processen_US
dc.subjectMixture distributionen_US
dc.titleOptimal burn-in policy for highly reliable products using inverse Gaussian degradation processen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage1003-
dc.identifier.epage1011-
dc.identifier.volume19-
dc.identifier.doi10.1007/978-3-319-09507-3_86-
dcterms.abstractBurn-in test is a manufacturing procedure implemented to identify and eliminate units with infant mortality before they are shipped to the customers. The traditional burn-in test, collecting event data over a short period of time, is rather inefficient. This problem can be solved if there is a suitable quality characteristic (QC) whose degradation over time can be related to the lifetime of the product. Optimal burn-in policies have been discussed in the literature assuming that the underlying degradation path follows a Wiener process or a gamma process. However, the degradation paths of many products may be more appropriately modeled by an inverse Gaussian process which exhibits a monotone increasing pattern. Here, motivated by the numerous merits of the inverse Gaussian process, we first propose a mixed inverse Gaussian process to describe the degradation paths of the products. Next, we present a decision rule for classifying a unit as typical or weak. A cost model is used to determine the optimal burn-in duration and the optimal cut-off level. A simulation study is carried out to illustrate the proposed procedure.-
dcterms.bibliographicCitationLecture notes in mechanical engineering, 2015, v. 19, p. 1003-1011-
dcterms.isPartOfLecture notes in mechanical engineering-
dcterms.issued2015-
dc.identifier.scopus2-s2.0-84951070672-
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