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dc.contributor.authorPoladova, Aynura
dc.contributor.authorTekin, Salih
dc.contributor.authorKhaniyev, Tahir
dc.date.accessioned2020-11-18T06:48:02Z
dc.date.available2020-11-18T06:48:02Z
dc.date.issued2020-05
dc.identifier.citationPoladova, A., Tekin, S., & Khaniyev, T. (2020). A novel replacement policy for a linear deteriorating system using stochastic process with dependent components. Applied Stochastic Models in Business and Industry.en_US
dc.identifier.issn1524-1904
dc.identifier.urihttps://doi.org/10.1002/asmb.2494
dc.identifier.urihttp://hdl.handle.net/20.500.11851/3925
dc.description.abstractIn this study, a mechanical system with linear deterioration and preventive maintenance is considered. The state of the system over time is represented by a semicontinuous stochastic process with dependent components. The system cycles through on and off periods during its lifetime. The state of the system deteriorates linearly as a function of the usage time during on periods. When the system is offline, preventive maintenance is conducted, which improves the system state by a random amount. The system's on and off times and random improvement amounts are assumed to have general distributions. For such a system, our objective is to determine the expected value and variance for the number of preventive maintenance activities needed during the system lifetime and to propose a novel replacement policy for the system based on delay-time modeling. Finally, the effectiveness of the obtained asymptotic results and the proposed replacement policy are tested through simulation.en_US
dc.language.isoengen_US
dc.publisherWileyen_US
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectboundary functionalsen_US
dc.subjectlinearly deteriorating systemen_US
dc.subjectpreventive maintenanceen_US
dc.subjectreplacement policyen_US
dc.subjectstochastic process with dependent componentsen_US
dc.titleA novel replacement policy for a linear deteriorating system using stochastic process with dependent componentsen_US
dc.typearticleen_US
dc.relation.journalApplied Stochastic Models in Business and Industryen_US
dc.contributor.departmentTOBB ETU, Faculty of Engineering, Department of Industrial Engineeringen_US
dc.contributor.departmentTOBB ETÜ, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümütr_TR
dc.identifier.volume36
dc.identifier.issue3
dc.identifier.startpage381
dc.identifier.endpage396
dc.contributor.orcidhttps://orcid.org/0000-0002-1697-7559
dc.contributor.orcidhttps://orcid.org/0000-0003-1974-0140
dc.identifier.wosWOS:000495512500001
dc.identifier.scopus2-s2.0-85074847904
dc.contributor.tobbetuauthorTekin, Salih
dc.contributor.tobbetuauthorKhaniyev, Tahir
dc.contributor.YOKid157107
dc.identifier.doi10.1002/asmb.2494
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıtr_TR


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