{"title":"Maintenance strategies for a queueing system with a standby equipment: An integrated approach using condition-based monitoring","authors":"Zeyu Luo , Zhaotong Lian , Jin Li , Zhixin Yang","doi":"10.1016/j.ress.2025.111219","DOIUrl":null,"url":null,"abstract":"<div><div>This paper presents a comprehensive maintenance strategy for service systems by integrating condition-based maintenance (CBM) with queueing theory. The proposed strategy leverages real-time deterioration data to optimize server performance and reliability while balancing the costs of maintaining standby equipment and ordering new components. Our study develops an integrated maintenance model based on an M/M/1 queueing system, simulating performance degradation using condition monitoring data. This model determines the optimal reordering state for critical server equipment. Extensive numerical analyses validate its effectiveness, and a sensitivity analysis identifies key factors affecting cost and profitability. Key contributions include: (1) An integrated system model combining CBM and queueing theory to optimize maintenance strategies; (2) A computationally efficient Markov chain-based model that reduces complexity while maintaining accuracy; (3) Explicit formulas for performance metrics such as server availability, system reliability, and reorder lead time. The proposed model minimizes long-term average costs while maintaining high service availability and reliability, offering practical insights for improving maintenance efficiency across industries.</div></div>","PeriodicalId":54500,"journal":{"name":"Reliability Engineering & System Safety","volume":"263 ","pages":"Article 111219"},"PeriodicalIF":9.4000,"publicationDate":"2025-05-21","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/S095183202500420X","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
This paper presents a comprehensive maintenance strategy for service systems by integrating condition-based maintenance (CBM) with queueing theory. The proposed strategy leverages real-time deterioration data to optimize server performance and reliability while balancing the costs of maintaining standby equipment and ordering new components. Our study develops an integrated maintenance model based on an M/M/1 queueing system, simulating performance degradation using condition monitoring data. This model determines the optimal reordering state for critical server equipment. Extensive numerical analyses validate its effectiveness, and a sensitivity analysis identifies key factors affecting cost and profitability. Key contributions include: (1) An integrated system model combining CBM and queueing theory to optimize maintenance strategies; (2) A computationally efficient Markov chain-based model that reduces complexity while maintaining accuracy; (3) Explicit formulas for performance metrics such as server availability, system reliability, and reorder lead time. The proposed model minimizes long-term average costs while maintaining high service availability and reliability, offering practical insights for improving maintenance efficiency across industries.
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.