Designing optimal proactive replacement strategies for degraded systems subject to two types of external shocks

dc.cclicenceCC-BY-NCen
dc.contributor.authorDong, Wenjie
dc.contributor.authorYang, Yingjie
dc.contributor.authorCao, Yingsai
dc.contributor.authorZhang, Jingru
dc.contributor.authorLiu, Sifeng
dc.date.acceptance2023-02-11
dc.date.accessioned2023-03-10T11:24:43Z
dc.date.available2023-03-10T11:24:43Z
dc.date.issued2023-02-27
dc.descriptionThe file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.en
dc.description.abstractThis paper mainly investigates a proactive replacement policy for a stochastically deteriorating system concurrently subject to two types of shocks. Firstly, the closed form representation of system reliability function suffering from both a degradation process and environmental shocks is derived based on the degradation-threshold failure (DTS) modelling framework. An age- and state-dependent competing risks model with mutual dependence between the two failure processes is embedded into system reliability modelling, where two types of shocks are taken into consideration upon arrival of an external shock including a minor one and a major one. Based on which, a bivariate maintenance policy is put forward for the deteriorating system, where the system is proactively replaced before failure at a planned time, or at an appropriate number of minimal repairs, whichever takes place first. The expected long-run cost rate (ELRCR) is formulated, and optimal solutions are evaluated analytically for two special cases. Finally, an illustrative example is redesigned to validate the theoretical results, exploring the significance of two types of shocks and mutual dependence in system reliability modelling, and illustrating the potential applications in maintenance decisions in various manufacturing systems.en
dc.funderOther external funder (please detail below)en
dc.funder.otherNational Natural Science Foundation of Chinaen
dc.identifier.citationDong, W., Yang, Y., Cao, Y., Zhang, J. and Liu, S. (2023) Designing optimal proactive replacement strategies for degraded systems subject to two types of external shocks. Communications in Statistics - Theory and Methods,en
dc.identifier.doihttps://doi.org/10.1080/03610926.2023.2182179
dc.identifier.issn1532-415X
dc.identifier.urihttps://hdl.handle.net/2086/22596
dc.language.isoenen
dc.peerreviewedYesen
dc.projectid72271124en
dc.projectid72071111en
dc.publisherTaylors & Francisen
dc.researchinstituteInstitute of Artificial Intelligence (IAI)en
dc.subjectDegradation modellingen
dc.subjectTwo types of shocksen
dc.subjectMutual dependenceen
dc.subjectProactive replacementen
dc.subjectOptimizationen
dc.titleDesigning optimal proactive replacement strategies for degraded systems subject to two types of external shocksen
dc.typeArticleen

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