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dc.contributor.authorGupta, D.en_US
dc.contributor.authorGünalay, Y.en_US
dc.contributor.authorSrinivasan, M. M.en_US
dc.date.accessioned2015-07-28T11:57:00Z
dc.date.available2015-07-28T11:57:00Z
dc.date.issued2001-07-01en_US
dc.identifier.issn0377-2217
dc.identifier.urihttp://hdl.handle.net/11693/11161
dc.description.abstractA common lament of the preventive maintenance (PM) crusaders is that production supervisors are often unwilling to lose valuable machine time when there are job waiting to be processed and do not assign high enough priority to PM. Maintenance activities that depend dynamically on system state are too complicated to implement and their overall impact on system performance. measured in terms of average tardiness or work-in-process (WIP) inventory, is difficult to predict, In this article, we present some easy to implement state-dependent PM policies that are consistent with the realities of production environment. We also develop polling models based analyses that could be used to obtain system performance metrics when such policies are implemented, We show that there ape situations in which increased PM activity can lower total expected WIP (and overall tardiness) on its own, i.e., without accounting for the lower unplanned downtime. We also include examples that explain the interaction between duration of PM activity and switchover times. We identify cases in which a simple state-independent PM policy outperforms the more sophisticated state-dependent policies, (C) 2001 Elsevier Science B.V. All rights reserved.en_US
dc.language.isoEnglishen_US
dc.source.titleEuropean Journal of Operational Researchen_US
dc.relation.isversionofhttp://dx.doi.org/10.1016/S0377-2217(00)00118-1en_US
dc.subjectQueueingen_US
dc.subjectPolling modelsen_US
dc.subjectPreventive-maintenanceen_US
dc.subjectStochastic production modelsen_US
dc.titleThe relationship between preventive maintenance and manufacturing system performanceen_US
dc.typeArticleen_US
dc.departmentDepartment of Managementen_US
dc.citation.spage146en_US
dc.citation.epage162en_US
dc.citation.volumeNumber132en_US
dc.citation.issueNumber1en_US
dc.identifier.doi10.1016/S0377-2217(00)00118-1en_US
dc.publisherElsevieren_US
dc.identifier.eissn1872-6860


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