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Optimal warranty policy with inspection for heterogeneous, stochastically degrading items

Title
Optimal warranty policy with inspection for heterogeneous, stochastically degrading items
Authors
Cha J.H.Finkelstein M.Levitin G.
Ewha Authors
차지환
SCOPUS Author ID
차지환scopus
Issue Date
2021
Journal Title
European Journal of Operational Research
ISSN
0377-2217JCR Link
Citation
European Journal of Operational Research vol. 289, no. 3, pp. 1142 - 1152
Keywords
Heterogeneous populationsMaintenanceMixed inverse-Gaussian processOptimal warranty policyRenewable warranty
Publisher
Elsevier B.V.
Indexed
SCIE; SCOPUS WOS scopus
Document Type
Article
Abstract
A new renewable warranty policy is suggested that increases probability of its success and can decrease warranty costs. An item from a heterogeneous population is inspected at some intermediate time during a warranty period and, if the observed level of degradation/wear exceeds some optimally predetermined value, it is screened out and replaced by the new one. Deterioration in homogeneous subpopulations of items is modeled by the inverse-Gaussian (IG) process, whereas heterogeneous populations are described by the mixed IG process. Probabilistic and cost analyses of the model are performed and the detailed illustrative example is presented and discussed. © 2020 Elsevier B.V.
DOI
10.1016/j.ejor.2020.07.045
Appears in Collections:
자연과학대학 > 통계학전공 > Journal papers
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