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dc.contributor.authorWu, Cheng-Hung
dc.contributor.authorYao, Yi-Chun
dc.contributor.authorDauzère-Pérès, Stéphane
dc.contributor.authorYu, Cheng-Juei
dc.identifier.citationComputers & Operations Research. 2020, 113 .nb_NO
dc.description.abstractA dynamic decision model that coordinates dispatching and preventive maintenance decisions for failure- prone parallel machines in make-to-order (MTO) production environments is developed in this research. The primary objective is to minimize the weighted long-run average waiting costs of MTO systems. Two common but seldom studied stochastic factors, namely, the dispatching-dependent deterioration of ma- chines and machine-health-dependent production rates, are explicitly modeled in the proposed dynamic dispatching and preventive maintenance (DDPM) model. Although the DDPM model is developed using Markov decision processes, it is equally effective in non-Markovian production environments. The per- formance of the DDPM model is validated in Markovian and non-Markovian production environments. Compared with several methods from the literature, simulation results show an improvement of at least 45.2% in average job waiting times and a minimum reduction of 48.9% in average machine downtimes. The comparison results between the optimal dynamic dispatching policies with and without coordinated preventive maintenance show that performance improvement can be mostly attributed to the coordina- tion between preventive maintenance and dispatching decisions.nb_NO
dc.description.abstractDynamic dispatching and preventive maintenance for parallel machines with dispatching-dependent deteriorationnb_NO
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.titleDynamic dispatching and preventive maintenance for parallel machines with dispatching-dependent deteriorationnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.rights.holderCopyright policy of Elsevier, the publisher of this journal. The author retains the right to post the accepted author manuscript on open web sites operated by author or author's institution for scholarly purposes, with an embargo period of 0-36 months after first view online.nb_NO
dc.source.journalComputers & Operations Researchnb_NO
cristin.unitnameInstitutt for regnskap, revisjon og foretaksøkonomi

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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal