Manufacturing Cell Design Using Simulated Annealing: an Industrial Application
dc.contributor.author | Harhalakis, George | en_US |
dc.contributor.author | Proth, J.M. | en_US |
dc.contributor.author | Xie, X.L. | en_US |
dc.contributor.department | ISR | en_US |
dc.date.accessioned | 2007-05-23T09:46:25Z | |
dc.date.available | 2007-05-23T09:46:25Z | |
dc.date.issued | 1990 | en_US |
dc.description.abstract | In this paper, we give a brief summary of simulated annealing procedures used to solve combinatorial optimization problems. We then present the manufacturing cell design problem which consists of designing cells of limited size in order to minimize inter- cell traffic. We show how to use a SA approach to obtain a good, if not optimum, solution to this problem. Finally, we apply this approach to an industrial problem and compare the results to the ones obtained using the so-called twofold heuristic algorithm. | en_US |
dc.format.extent | 576437 bytes | |
dc.format.mimetype | application/pdf | |
dc.identifier.uri | http://hdl.handle.net/1903/5016 | |
dc.language.iso | en_US | en_US |
dc.relation.ispartofseries | ISR; TR 1990-68 | en_US |
dc.subject | discrete event dynamical systems | en_US |
dc.subject | group technology | en_US |
dc.subject | manufacturing cells | en_US |
dc.subject | plant layout | en_US |
dc.subject | clustering | en_US |
dc.subject | simulated annealing | en_US |
dc.subject | Manufacturing Systems | en_US |
dc.title | Manufacturing Cell Design Using Simulated Annealing: an Industrial Application | en_US |
dc.type | Technical Report | en_US |
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