Joint optimization of condition-based maintenance and component reallocation for phased-mission balanced systems with flexible structure considering imperfect substitution

IF 9.4 1区 工程技术 Q1 ENGINEERING, INDUSTRIAL
Siqi Wang , Shuyun Li , Lipo Mo
{"title":"Joint optimization of condition-based maintenance and component reallocation for phased-mission balanced systems with flexible structure considering imperfect substitution","authors":"Siqi Wang ,&nbsp;Shuyun Li ,&nbsp;Lipo Mo","doi":"10.1016/j.ress.2025.111399","DOIUrl":null,"url":null,"abstract":"<div><div>In many practical situations, many balanced systems need to operate in multiple phases. Such systems usually have a different system structure for each phase. The system is balanced when the maximum state difference between all working components is less than a predetermined value. Component degradation is described by a Markov process and the state can be checked periodically. We propose a joint policy of condition-based component reallocation and maintenance for this balanced system. Non-working components can be used to replace working components for operation. Components can be repaired to an arbitrarily better state. The operation process of the balanced system is described as a Markov decision process and the optimal joint policy is obtained by a finite stage backward recursive iterative algorithm. In addition, two contrasting policies are proposed to compare with the proposed policy. Based on flexible manufacturing systems, a numerical study shows that the proposed joint policy is significantly better than the other two policies.</div></div>","PeriodicalId":54500,"journal":{"name":"Reliability Engineering & System Safety","volume":"264 ","pages":"Article 111399"},"PeriodicalIF":9.4000,"publicationDate":"2025-06-26","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/S0951832025006003","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

In many practical situations, many balanced systems need to operate in multiple phases. Such systems usually have a different system structure for each phase. The system is balanced when the maximum state difference between all working components is less than a predetermined value. Component degradation is described by a Markov process and the state can be checked periodically. We propose a joint policy of condition-based component reallocation and maintenance for this balanced system. Non-working components can be used to replace working components for operation. Components can be repaired to an arbitrarily better state. The operation process of the balanced system is described as a Markov decision process and the optimal joint policy is obtained by a finite stage backward recursive iterative algorithm. In addition, two contrasting policies are proposed to compare with the proposed policy. Based on flexible manufacturing systems, a numerical study shows that the proposed joint policy is significantly better than the other two policies.
考虑不完全替代的柔性结构分阶段任务平衡系统状态维修与部件再分配联合优化
在许多实际情况下,许多平衡系统需要在多个阶段运行。这样的系统通常在每个阶段都有不同的系统结构。当所有工作元件之间的最大状态差小于预定值时,系统是平衡的。部件退化用马尔可夫过程描述,状态可以定期检查。我们提出了一种基于状态的组件重新分配和维护的联合策略。非工作部件可用来代替工作部件进行操作。组件可以被修复到任意更好的状态。将平衡系统的运行过程描述为马尔可夫决策过程,并通过有限阶段反向递归迭代算法获得最优联合策略。此外,还提出了两种对比政策,与建议的政策进行比较。基于柔性制造系统的数值研究表明,所提出的联合策略明显优于其他两种策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Reliability Engineering & System Safety
Reliability Engineering & System Safety 管理科学-工程:工业
CiteScore
15.20
自引率
39.50%
发文量
621
审稿时长
67 days
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.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信