Integrated maintenance and production control of a deteriorating production system
dc.contributor.author | Iravani, Seyed M. R. | en_US |
dc.contributor.author | Duenyas, Izak | en_US |
dc.date.accessioned | 2006-09-11T17:13:01Z | |
dc.date.available | 2006-09-11T17:13:01Z | |
dc.date.issued | 2002-05 | en_US |
dc.identifier.citation | Iravani, Seyed M.R.; Duenyas, Izak; (2002). "Integrated maintenance and production control of a deteriorating production system." IIE Transactions 34(5): 423-435. <http://hdl.handle.net/2027.42/45965> | en_US |
dc.identifier.issn | 0740-817X | en_US |
dc.identifier.issn | 1573-9724 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/45965 | |
dc.description.abstract | We consider a make-to-stock production/inventory system consisting of a single deteriorating machine which produces a single item. We formulate the integrated decisions of maintenance and production using a Markov Decision Process. The optimal dynamic policy is shown to have a rather complex structure which leads us to consider more implementable policies. We present a double-threshold policy and derive exact and approximate methods for evaluating the performance of this policy and computing its optimal parameters. A detailed numerical study demonstrates that the proposed policy and our approximate method for computing its parameters perform extremely well. Finally, we show that policies which do not address maintenance and production control decisions in an integrated manner can perform rather badly. | en_US |
dc.format.extent | 470266 bytes | |
dc.format.extent | 3115 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Kluwer Academic Publishers; Springer Science+Business Media | en_US |
dc.subject.other | Engineering | en_US |
dc.subject.other | Mechanical Engineering | en_US |
dc.title | Integrated maintenance and production control of a deteriorating production system | en_US |
dc.type | Article | en_US |
dc.subject.hlbsecondlevel | Mathematics | en_US |
dc.subject.hlbsecondlevel | Management | en_US |
dc.subject.hlbsecondlevel | Industrial and Operations Engineering | en_US |
dc.subject.hlbsecondlevel | Economics | en_US |
dc.subject.hlbtoplevel | Engineering | en_US |
dc.subject.hlbtoplevel | Business | en_US |
dc.subject.hlbtoplevel | Science | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | School of Business, University of Michigan, Ann Arbor, MI, 48109-1234, USA | en_US |
dc.contributor.affiliationother | Department of Industrial Engineering and Management Sciences, Northwestern University, Evanston, IL, 60208, USA | en_US |
dc.contributor.affiliationumcampus | Ann Arbor | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/45965/1/10756_2004_Article_396988.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1023/A:1013596731865 | en_US |
dc.identifier.source | IIE Transactions | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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