126 0

Full metadata record

DC FieldValueLanguage
dc.contributor.author배석주-
dc.date.accessioned2022-01-27T06:31:39Z-
dc.date.available2022-01-27T06:31:39Z-
dc.date.issued2020-06-
dc.identifier.citationCOMPUTERS & INDUSTRIAL ENGINEERING, v. 145, article no. 106508en_US
dc.identifier.issn0360-8352-
dc.identifier.issn1879-0550-
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S0360835220302424?via%3Dihub-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/167173-
dc.description.abstractThe main purpose of this paper is to schedule an imperfect maintenance policy for a single unit multi-state system (MSS) exhibiting more than two output states in the duration of its multiple operation stages. Firstly, a nonhomogeneous continuous time Markov chain (NHCTMC) is introduced to describe the state evolution process when the number of external shocks is modeled by a nonhomogeneous Poisson process (NHPP), and state residence probabilities of the Markov process are derived via a proposed recursive algorithm (RA) in solving the Chapman-Kolmogorov (CK) differential equations. Based on those modeling approaches, reliability measures such as the survival function and mean time to first failure (MTTFF) are evaluated where the randomly varied user demands reflecting real industrial applications are taken into consideration. We subsequently put forward a multi-stage imperfect maintenance policy by dividing system output states into three subsets concerning different degrees of degradation, incorporating a condition-based maintenance (CBM) action and a corrective maintenance (CM) activity in each operation stage. It is assumed that the CBM is a minimal repair and the effectiveness of CM is imperfect. The system will not be completely replaced by a brand new one until the number of failures reaches N in light of the investigated maintenance policy, where the expected profit in per renewal cycle is maximized to seek the optimal N analytically. An illustrative example of a bulk power electric system is presented to verify the proposed idea numerically, in which three common types of demand distributions are introduced.en_US
dc.description.sponsorshipThe authors are grateful to the referees for their careful reading and constructive comments. This work was partially supported by the National Natural Science Foundation of China under Grants 71671091, 71801126 and 71801127, China Postdoctoral Science Foundation under Grants 2018 M630561 and 2019TQ0150, the Fundamental Research Funds for the Central Universities under Grants NC2019003 and NP2019104, Postgraduate Research & Practice Innovation Program of Jiangsu Province under Grant KYCX19_0141 and China Scholarship Council under Grant 201906830041. S. J. Bae's work was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2018R1D1A1A09083149).en_US
dc.language.isoenen_US
dc.publisherPERGAMON-ELSEVIER SCIENCE LTDen_US
dc.subjectCondition-based maintenanceen_US
dc.subjectContinuous time Markov chainen_US
dc.subjectImperfect maintenanceen_US
dc.subjectMulti-state systemsen_US
dc.subjectNonhomogeneous Poisson processen_US
dc.subjectQuasi-renewal processen_US
dc.titleA multi-stage imperfect maintenance strategy for multi-state systems with variable user demandsen_US
dc.typeArticleen_US
dc.relation.volume145-
dc.identifier.doi10.1016/j.cie.2020.106508-
dc.relation.page1-11-
dc.relation.journalCOMPUTERS & INDUSTRIAL ENGINEERING-
dc.contributor.googleauthorDong, Wenjie-
dc.contributor.googleauthorLiu, Sifeng-
dc.contributor.googleauthorBae, Suk Joo-
dc.contributor.googleauthorLiu, Yu-
dc.relation.code2020047355-
dc.sector.campusS-
dc.sector.daehakCOLLEGE OF ENGINEERING[S]-
dc.sector.departmentDEPARTMENT OF INDUSTRIAL ENGINEERING-
dc.identifier.pidsjbae-
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > INDUSTRIAL ENGINEERING(산업공학과) > Articles
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE