Robust design of flexible manufacturing systems using, colored Petri net and genetic algorithm
dc.contributor.author | Saitou, Kazuhiro | en_US |
dc.contributor.author | Malpathak, Samir | en_US |
dc.contributor.author | Qvam, Helge | en_US |
dc.date.accessioned | 2006-09-11T17:55:15Z | |
dc.date.available | 2006-09-11T17:55:15Z | |
dc.date.issued | 2002-10 | en_US |
dc.identifier.citation | Saitou, Kazuhiro; Malpathak, Samir; Qvam, Helge; (2002). "Robust design of flexible manufacturing systems using, colored Petri net and genetic algorithm." Journal of Intelligent Manufacturing 13(5): 339-351. <http://hdl.handle.net/2027.42/46552> | en_US |
dc.identifier.issn | 0956-5515 | en_US |
dc.identifier.issn | 1572-8145 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/46552 | |
dc.description.abstract | A method is presented for the robust design of flexible manufacturing systems (FMS) that undergo the forecasted product plan variations. The resource allocation and the operation schedule of a FMS are modeled as a colored Petri net and an associated transition firing sequence. The robust design of the colored Petri net model is formulated as a multi-objective optimization problem that simultaneously minimizes the production costs under multiple production plans (batch sizes for all jobs), and the reconfiguration cost due to production plan changes. A genetic algorithm, coupled with the shortest imminent operation time (SIO) dispatching rule, is used to simultaneously find the near-optimal resource allocation and the event-driven schedule of a colored Petri net. The resulting Petri net is then compared with the Petri nets optimized for a particular production plan in order to address the effectiveness of the robustness optimization. The simulation results suggest that the proposed robustness optimization scheme should be considered when the products are moderately different in their job specifications so that optimizing for a particular production plan creates inevitably bottlenecks in product flow and/or deadlock under other production plans. | en_US |
dc.format.extent | 755914 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 | Economics / Management Science | en_US |
dc.subject.other | Manufacturing, Machines, Tools | en_US |
dc.subject.other | Automation and Robotics | en_US |
dc.subject.other | Production/Logistics | en_US |
dc.subject.other | Flexible Manufacturing Systems | en_US |
dc.subject.other | Robust Design | en_US |
dc.subject.other | Colored Petri Nets | en_US |
dc.subject.other | Genetic Algorithms | en_US |
dc.subject.other | Part Families. | en_US |
dc.title | Robust design of flexible manufacturing systems using, colored Petri net and genetic algorithm | en_US |
dc.type | Article | en_US |
dc.subject.hlbsecondlevel | Economics | en_US |
dc.subject.hlbtoplevel | Business | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Department of Mechanical Engineering, University of Michigan, Ann Arbor, Michigan, 48109-2125, USA | en_US |
dc.contributor.affiliationum | Department of Mechanical Engineering, University of Michigan, Ann Arbor, Michigan, 48109-2125, USA | en_US |
dc.contributor.affiliationum | Department of Mechanical Engineering, University of Michigan, Ann Arbor, Michigan, 48109-2125, USA | en_US |
dc.contributor.affiliationumcampus | Ann Arbor | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/46552/1/10845_2004_Article_5093377.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1023/A:1019920324813 | en_US |
dc.identifier.source | Journal of Intelligent Manufacturing | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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