NL repository
menu
검색
Library
Browse
Communities & Collections
By Date
Authors
Titles
Subject
My Repository
My Account
Receive email updates
Edit Profile
DSpace at EWHA
자연과학대학
통계학전공
Journal papers
View : 932 Download: 0
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
차지환
Issue Date
2021
Journal Title
European Journal of Operational Research
ISSN
0377-2217
Citation
European Journal of Operational Research vol. 289, no. 3, pp. 1142 - 1152
Keywords
Heterogeneous populations
;
Maintenance
;
Mixed inverse-Gaussian process
;
Optimal warranty policy
;
Renewable warranty
Publisher
Elsevier B.V.
Indexed
SCIE; 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
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML
Show full item record
Find@EWHA
트윗하기
BROWSE
Communities & Collections
By Date
Authors
Titles
Subject