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dc.contributor.authorBiswas, Sandhyarani-
dc.contributor.authorMahapatra, S S-
dc.identifier.citationProceedings of the Eighth International Conference on Operations and Quantitative Management, Assumptions University, Bangkok, October 17-20, 2007, P 621-628en
dc.descriptionCopyright for this article belongs to Proceedings Publishersen
dc.description.abstractLoading 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 scenariosen
dc.format.extent214536 bytes-
dc.publisherAssumption University, Bangkoken
dc.subjectFlexible Manufacturing Systemsen
dc.subjectMachine Loading Problemen
dc.subjectParticle Swarm Optimizationen
dc.subjectSystme Unbalanceen
dc.titleMachine Loading in Flexible Manufacturing System:A Swarm Optimization Approachen
Appears in Collections:Conference Papers

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