Assessing the effects of machine breakdowns in stochastic scheduling
dc.contributor.author | Birge, John R. | en_US |
dc.contributor.author | Glazebrook, Kevin D. | en_US |
dc.date.accessioned | 2006-04-07T20:07:15Z | |
dc.date.available | 2006-04-07T20:07:15Z | |
dc.date.issued | 1988-12 | en_US |
dc.identifier.citation | Birge, John R., Glazebrook, Kevin D. (1988/12)."Assessing the effects of machine breakdowns in stochastic scheduling." Operations Research Letters 7(6): 267-271. <http://hdl.handle.net/2027.42/27036> | en_US |
dc.identifier.uri | http://www.sciencedirect.com/science/article/B6V8M-48N54XW-73/2/96b3b1dda080d683c7d588369f1684be | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/27036 | |
dc.description.abstract | In most scheduling problems discussed in the literature it is assumed that the machine (i.e. key resource) is continuously available. Plainly, this is often unrealistic. Here we suggest assessing the effects of machine breakdowns by evaluating the strategy which is optimal when the machine is always available as a strategy for the breakdowns case. The results extend earlier ones of the authors and co-workers. | en_US |
dc.format.extent | 387289 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 | Assessing the effects of machine breakdowns in stochastic scheduling | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Mathematics | en_US |
dc.subject.hlbtoplevel | Science | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Department of Industrial and Operations Engineering, University of Michigan, 1205 Beal, Ann Arbor MI 48109, USA | en_US |
dc.contributor.affiliationother | Department of Statistics, University of Newcastle upon Tyne, UK | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/27036/1/0000024.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1016/0167-6377(88)90056-9 | en_US |
dc.identifier.source | Operations Research Letters | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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