Optimal maintenance, repair, and replacement for Great Lakes marine diesels
dc.contributor.author | Perakis, Anastassios N. | en_US |
dc.contributor.author | Inozu, B. | en_US |
dc.date.accessioned | 2006-04-10T14:30:41Z | |
dc.date.available | 2006-04-10T14:30:41Z | |
dc.date.issued | 1991-11-25 | en_US |
dc.identifier.citation | Perakis, A. N., Inozu, B. (1991/11/25)."Optimal maintenance, repair, and replacement for Great Lakes marine diesels." European Journal of Operational Research 55(2): 165-182. <http://hdl.handle.net/2027.42/29025> | en_US |
dc.identifier.uri | http://www.sciencedirect.com/science/article/B6VCT-48NBBX8-KJ/2/f49dad83ba3e9b08be64be28a07ce04a | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/29025 | |
dc.description.abstract | Reliability-based models are developed and implemented to rationalize current winter layup replacement practices for one-engine and two-engine Great Lakes marine diesel ships. A semi-Markov competing-process approach is used in our models, where the age-dependent system failure behavior is treated as a race among engine components. Howard's one-set competing process model is implemented and extended to two sets of competing processes. An efficient enumeration procedure is presented to select the replacement policy which produces the minimum expected cost for the operating season. Computer codes are developed using the above models, and several examples are considered. Sensitivity analyses are performed for several parameters for which we have insufficient or no information from the industry to see their influence on the minimal expected costs and corresponding replacement policies. | en_US |
dc.format.extent | 1097681 bytes | |
dc.format.extent | 3118 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Elsevier | en_US |
dc.title | Optimal maintenance, repair, and replacement for Great Lakes marine diesels | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | 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 | Business | en_US |
dc.subject.hlbtoplevel | Engineering | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Department of Naval Architecture and Marine Engineering, The University of Michigan, Ann Arbor, MI 48109, USA | en_US |
dc.contributor.affiliationother | School of Naval Architecture and Marine Engineering, University of New Orleans, New Orleans, LA 70148, USA | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/29025/1/0000055.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1016/0377-2217(91)90221-G | en_US |
dc.identifier.source | European Journal of Operational Research | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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