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dc.contributor.authorvan Staden, Heletjé E.
dc.contributor.authorBoute, Robert
dc.date.accessioned2020-08-25T03:22:16Z
dc.date.available2020-08-25T03:22:16Z
dc.date.issued2021en_US
dc.identifier.issn0377-2217
dc.identifier.issn1872-6860
dc.identifier.doi10.1016/j.ejor.2020.08.035
dc.identifier.urihttp://hdl.handle.net/20.500.12127/6529
dc.description.abstractIndustry 4.0 promises reductions in maintenance costs through access to digital technologies such as the Internet of Things, cloud computing and data analytics. Many of the promised benefts to maintenance are, however, dependent on the quality of the data obtained through sensors and related technologies. In this work, we consider the effect of access to different levels of deterioration data quality, resulting in partial information about the underlying state of the system being monitored, by means of sensors, on condition based maintenance policies. The sensors may be either internal company sensors, or more informative external sensors of which access is obtained at a cost. We analyze the structure of the optimal policy, where the actions are either to perform maintenance, to pay for external sensor information or to continue system operation with internal sensor information only. We show that the optimal policy consists of at most four regions based on the believed deterioration state of the system. The analysis allows us to numerically investigate the decision maker's willingness to pay for more informative external sensor information with respect to the level of external sensor informativeness, when compared to that of the internal sensor, and the cost thereof.en_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectMaintenanceen_US
dc.subjectMulti-sensor Dataen_US
dc.subjectCondition-based Maintenanceen_US
dc.subjectPartially Observable Markov Decision Processen_US
dc.titleThe effect of multi-sensor data on condition-based maintenance policiesen_US
dc.identifier.journalEuropean Journal of Operational Researchen_US
dc.source.volume290
dc.source.issue2
dc.source.endpage600
dc.contributor.departmentKU Leuven, Faculty of Economics and Business, Naamsestraat 69, Box 3555, Leuven, 3000, Belgiumen_US
vlerick.knowledgedomainOperations & Supply Chain Managementen_US
vlerick.typearticleVlerick strategic journal articleen_US
vlerick.vlerickdepartmentTOMen_US
dc.identifier.vperid102358en_US


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