{"title":"Standby component replacement strategy for a balanced system with a standby pool","authors":"Xian Zhao , Chen Wang , Siqi Wang , He Han","doi":"10.1016/j.ress.2024.110627","DOIUrl":null,"url":null,"abstract":"<div><div>In this paper, a new rebalancing strategy is proposed by replacing the standby components for a balanced system with a standby pool. The working components are connected in series. All standby components are stored in a standby component pool. When the working components do not fail and the balance degree of the system does not exceed a threshold, the system can operate normally. The balance degree of the system is defined as the maximum state difference of all the working components. If the system becomes unbalanced or fails, a qualified standby component in the standby pool should be selected to replace the working component. The replacement strategy is given in detail. This paper uses the discrete-state continuous-time Markov process to derive the system reliability. Finally, a numerical example and sensitivity analysis are given. Considering the downtime cost and the cost of purchasing standby components, the number of standby components in the standby pool is optimized.</div></div>","PeriodicalId":54500,"journal":{"name":"Reliability Engineering & System Safety","volume":"254 ","pages":"Article 110627"},"PeriodicalIF":9.4000,"publicationDate":"2024-11-08","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/S0951832024006987","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}
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Abstract
In this paper, a new rebalancing strategy is proposed by replacing the standby components for a balanced system with a standby pool. The working components are connected in series. All standby components are stored in a standby component pool. When the working components do not fail and the balance degree of the system does not exceed a threshold, the system can operate normally. The balance degree of the system is defined as the maximum state difference of all the working components. If the system becomes unbalanced or fails, a qualified standby component in the standby pool should be selected to replace the working component. The replacement strategy is given in detail. This paper uses the discrete-state continuous-time Markov process to derive the system reliability. Finally, a numerical example and sensitivity analysis are given. Considering the downtime cost and the cost of purchasing standby components, the number of standby components in the standby pool is optimized.
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.
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