Optimal warranty policy with inspection for heterogeneous, stochastically degrading items
- 주제(키워드) Heterogeneous populations , Maintenance , Mixed inverse-Gaussian process , Optimal warranty policy , Renewable warranty
- 등재 SCIE, SCOPUS
- 발행기관 Elsevier B.V.
- 발행년도 2021
- 총서유형 Journal
- URI http://www.dcollection.net/handler/ewha/000000174895
- 본문언어 영어
- Published As http://dx.doi.org/10.1016/j.ejor.2020.07.045
- 저작권 이화여자대학교 논문은 저작권에 의해 보호받습니다.
초록/요약
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.
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