{"title":"Component-based perfect replacement optimizations for series and parallel systems consisting of repairable dependent components","authors":"Jaber Kazempoor, Arezou Habibirad","doi":"10.1177/1748006x231199790","DOIUrl":null,"url":null,"abstract":"In this paper, we consider the preventive perfect replacement and replacement by a new one policies for some arbitrary selected components in the repairable series and parallel systems with dependent components. These policies are also extended to other systems. In fact, regardless of the kind of system, the policies are applied to any system with a survival function that can be calculated as a known function of their component’s survival functions. The dependent structure of these components is formulated regarding copula frameworks. In addition, two optimal maintenance policies in accordance with the maximum expected life for a series and parallel system and minimum/maximum relative risk of a component for a series/parallel system have been provided. The problem issue of finding the optimal relative risk of a component is new and has not been proposed up to now. Although the optimal life extension of a system has been investigated previously, through a replacement policy of the whole system, in this study, the life of a series or parallel system is optimally extended through a replacement policy of some of its dependent components. The existence of the optimal solution has been shown for all copula functions and furthermore, some numerical results are detailed regarding the Gumbel, Frank, Joe, Clayton, FGM, Normal, and AMH copulas.","PeriodicalId":51266,"journal":{"name":"Proceedings of the Institution of Mechanical Engineers Part O-Journal of Risk and Reliability","volume":null,"pages":null},"PeriodicalIF":1.7000,"publicationDate":"2023-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Institution of Mechanical Engineers Part O-Journal of Risk and Reliability","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/1748006x231199790","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, we consider the preventive perfect replacement and replacement by a new one policies for some arbitrary selected components in the repairable series and parallel systems with dependent components. These policies are also extended to other systems. In fact, regardless of the kind of system, the policies are applied to any system with a survival function that can be calculated as a known function of their component’s survival functions. The dependent structure of these components is formulated regarding copula frameworks. In addition, two optimal maintenance policies in accordance with the maximum expected life for a series and parallel system and minimum/maximum relative risk of a component for a series/parallel system have been provided. The problem issue of finding the optimal relative risk of a component is new and has not been proposed up to now. Although the optimal life extension of a system has been investigated previously, through a replacement policy of the whole system, in this study, the life of a series or parallel system is optimally extended through a replacement policy of some of its dependent components. The existence of the optimal solution has been shown for all copula functions and furthermore, some numerical results are detailed regarding the Gumbel, Frank, Joe, Clayton, FGM, Normal, and AMH copulas.
期刊介绍:
The Journal of Risk and Reliability is for researchers and practitioners who are involved in the field of risk analysis and reliability engineering. The remit of the Journal covers concepts, theories, principles, approaches, methods and models for the proper understanding, assessment, characterisation and management of the risk and reliability of engineering systems. The journal welcomes papers which are based on mathematical and probabilistic analysis, simulation and/or optimisation, as well as works highlighting conceptual and managerial issues. Papers that provide perspectives on current practices and methods, and how to improve these, are also welcome