Machine Loading in Flexible Manufacturing System:A Swarm Optimization Approach

Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/535

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DC Field	Value	Language
dc.contributor.author	Biswas, Sandhyarani	-
dc.contributor.author	Mahapatra, S S	-
dc.date.accessioned	2007-10-24T12:06:22Z	-
dc.date.available	2007-10-24T12:06:22Z	-
dc.date.issued	2007	-
dc.identifier.citation	Proceedings of the Eighth International Conference on Operations and Quantitative Management, Assumptions University, Bangkok, October 17-20, 2007, P 621-628	en
dc.identifier.uri	http://hdl.handle.net/2080/535	-
dc.description	Copyright for this article belongs to Proceedings Publishers	en
dc.description.abstract	Loading is one of the vital issues in flexible manufacturing system (FMS) production planning which deals with assignment of the necessary operations and tools among various machines in an optimal manner. Such a problem is combinatorial in nature and found to be NP-complete. In this paper, an attempt has been made to address such problems using mutation in particle swarm optimization (PSO) to avoid premature convergence with the objective of minimization of system unbalance. Promising results have been obtained when the solution is compared with existing techniques for ten standard problems available in literature representing three different FMS scenarios	en
dc.format.extent	214536 bytes	-
dc.format.mimetype	application/pdf	-
dc.language.iso	en	-
dc.publisher	Assumption University, Bangkok	en
dc.subject	Flexible Manufacturing Systems	en
dc.subject	Machine Loading Problem	en
dc.subject	Particle Swarm Optimization	en
dc.subject	Mutation	en
dc.subject	Systme Unbalance	en
dc.title	Machine Loading in Flexible Manufacturing System:A Swarm Optimization Approach	en
dc.type	Article	en
Appears in Collections:	Conference Papers

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