Xinlong Li , Shuai Jiang , Baojia Chen , Fafa Chen , Youjun An , Yan Ran , Genbao Zhang
{"title":"Joint optimization of imperfect preventive opportunistic maintenance and spare parts inventory for multi-unit systems considering spare parts reuse","authors":"Xinlong Li , Shuai Jiang , Baojia Chen , Fafa Chen , Youjun An , Yan Ran , Genbao Zhang","doi":"10.1016/j.ress.2025.111162","DOIUrl":null,"url":null,"abstract":"<div><div>Developing an appropriate maintenance and spare parts inventory strategy is an effective means to ensure the safe and reliable operation of the system. Currently, the joint optimization research of maintenance and spare parts inventory strategy for multi-unit systems neglects the reuse of the unit after maintenance, which wastes maintenance resources and increases maintenance costs. In addition, in order to facilitate modeling and calculation, time parameters related to preventive maintenance are ignored, and the differentiated effects of preventive maintenance on different types of unit failures are also not considered, so the strategy developed is not accurate. In this paper, considering the differential effects of preventive maintenance on different types of unit failures, maintenance strategies at unit-level are formulated first. Then, the costs involved are analyzed, the joint optimization model of imperfect opportunistic maintenance based on dynamic time window and spare parts inventory for multi-unit system is established, which takes into account the time parameters related to preventive maintenance and the reuse of the unit after maintenance. Furthermore, the solution algorithm of the model is designed. Finally, a numerical example is provided to demonstrate the effectiveness and superiority of the proposed method.</div></div>","PeriodicalId":54500,"journal":{"name":"Reliability Engineering & System Safety","volume":"261 ","pages":"Article 111162"},"PeriodicalIF":9.4000,"publicationDate":"2025-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Reliability Engineering & System Safety","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0951832025003631","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
引用次数: 0
Abstract
Developing an appropriate maintenance and spare parts inventory strategy is an effective means to ensure the safe and reliable operation of the system. Currently, the joint optimization research of maintenance and spare parts inventory strategy for multi-unit systems neglects the reuse of the unit after maintenance, which wastes maintenance resources and increases maintenance costs. In addition, in order to facilitate modeling and calculation, time parameters related to preventive maintenance are ignored, and the differentiated effects of preventive maintenance on different types of unit failures are also not considered, so the strategy developed is not accurate. In this paper, considering the differential effects of preventive maintenance on different types of unit failures, maintenance strategies at unit-level are formulated first. Then, the costs involved are analyzed, the joint optimization model of imperfect opportunistic maintenance based on dynamic time window and spare parts inventory for multi-unit system is established, which takes into account the time parameters related to preventive maintenance and the reuse of the unit after maintenance. Furthermore, the solution algorithm of the model is designed. Finally, a numerical example is provided to demonstrate the effectiveness and superiority of the proposed method.
期刊介绍:
Elsevier publishes Reliability Engineering & System Safety in association with the European Safety and Reliability Association and the Safety Engineering and Risk Analysis Division. The international journal is devoted to developing and applying methods to enhance the safety and reliability of complex technological systems, like nuclear power plants, chemical plants, hazardous waste facilities, space systems, offshore and maritime systems, transportation systems, constructed infrastructure, and manufacturing plants. The journal normally publishes only articles that involve the analysis of substantive problems related to the reliability of complex systems or present techniques and/or theoretical results that have a discernable relationship to the solution of such problems. An important aim is to balance academic material and practical applications.