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Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/5564
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dc.contributor.authorGupta, Diwakaren_US
dc.contributor.authorGünalay, Yavuzen_US
dc.contributor.authorSrinivasan, Mandyam M.en_US
dc.contributor.authorMcMaster University, Michael G. DeGroote School of Businessen_US
dc.date.accessioned2014-06-17T20:36:10Z-
dc.date.available2014-06-17T20:36:10Z-
dc.date.created2013-12-23en_US
dc.date.issued1999-06en_US
dc.identifier.otherdsb/25en_US
dc.identifier.other1024en_US
dc.identifier.other4944045en_US
dc.identifier.urihttp://hdl.handle.net/11375/5564-
dc.description<p>32 p. : ; Includes bibliographical references (p. 31-32). ; "June, 1999".</p>en_US
dc.description.abstract<p>A 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 are 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.</p>en_US
dc.relation.ispartofseriesResearch and working paper series (Michael G. DeGroote School of Business)en_US
dc.relation.ispartofseriesno. 437en_US
dc.subjectPreventive-maintenanceen_US
dc.subjectPolling systemsen_US
dc.subjectQueueing modelsen_US
dc.subjectStochastic production modelsen_US
dc.subjectBusinessen_US
dc.subjectBusinessen_US
dc.subject.lccRepetitive manufacturing systems > Maintenance and repair Maintenance Queuing theoryen_US
dc.titleOn the relationship between preventive maintenance and manufacturing system performanceen_US
dc.typearticleen_US
Appears in Collections:DeGroote School of Business Working Paper Series

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