Maintenance policy simulation for a factored partially observable system

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dc.authorid0000-0002-7414-2330
dc.contributor.authorÖzgür Ünlüakın, Demeten_US
dc.contributor.authorKıvanç, İpeken_US
dc.date.accessioned2020-02-20T04:40:48Z
dc.date.available2020-02-20T04:40:48Z
dc.date.issued2019-07
dc.departmentIşık Üniversitesi, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.departmentIşık University, Faculty of Engineering, Department of Industrial Engineeringen_US
dc.description.abstractTaking maintenance decisions is one of the well-known stochastic sequential decision problems under uncertainty. Partially Observable Markov Decision Processes (POMDPs) are powerful tools for such problems. Nevertheless, POMDPs are rarely used for tackling maintenance problems of multi-component systems because their state spaces grow exponentially with the increasing number of components. Factored representations have been proposed for POMDPs taking advantage of the factored structure already available in the nature of the problem. Our aim in this study is to show how to formulate a factored POMDP model for the maintenance problem of a multi-component dynamic system and how to simulate and evaluate the obtained policy before implementing it in real life. The sensitivity of the methodology is analyzed under several cost values, and the methodology is compared to other predefined policies. The results show that the policies generated via the POMDP solver perform better than the predefined policies.en_US
dc.description.sponsorshipThis study is supported by the Scientific and Technological Research Council of Turkey (T?B?TAK) under grant no 117M587.en_US
dc.description.sponsorshipTürkiye Bilimsel ve Teknolojik Araştirma Kurumuen_US
dc.description.versionPublisher's Versionen_US
dc.identifier.citationÖzgürÜnlüakın, D. & Kıvanç, İ. (2019). Maintenance policy simulation for a factored partially observable system. Paper presented at the Simulation Series, 1-11.en_US
dc.identifier.endpage11
dc.identifier.issn0735-9276
dc.identifier.scopus2-s2.0-85074831258
dc.identifier.scopusqualityN/A
dc.identifier.startpage1
dc.identifier.urihttps://hdl.handle.net/11729/2258
dc.identifier.volume2019
dc.identifier.wosWOS:000564683600026
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakConference Proceedings Citation Index – Science (CPCI-S)en_US
dc.institutionauthorÖzgür Ünlüakın, Demeten_US
dc.institutionauthorid0000-0002-7414-2330
dc.language.isoenen_US
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US
dc.publisherThe Society for Modeling and Simulation Internationalen_US
dc.relation.ispartofSimulation Seriesen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectBehavioral researchen_US
dc.subjectBelief spaceen_US
dc.subjectDBNen_US
dc.subjectFactored representationen_US
dc.subjectMaintenanceen_US
dc.subjectMaintenance decisionsen_US
dc.subjectMaintenance policyen_US
dc.subjectMarkov processesen_US
dc.subjectMulti-component systemsen_US
dc.subjectNumber of componentsen_US
dc.subjectPartially observable Markov decision processen_US
dc.subjectPartially observable systemsen_US
dc.subjectPlanningen_US
dc.subjectPOMDPen_US
dc.subjectSensitivity analysisen_US
dc.subjectStochastic systemsen_US
dc.titleMaintenance policy simulation for a factored partially observable systemen_US
dc.typeConference Objecten_US
dspace.entity.typePublication

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