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An ant colony algorithm for cell-formation in cellular manufacturing systems

Author

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  • N. Megala
  • Chandrasekharan Rajendran
  • Ram Gopalan

Abstract

In this paper, we consider the problem of cell-formation in cellular manufacturing systems with the objective of maximising the grouping efficacy. We propose an Ant-Colony Optimisation (ACO) algorithm to obtain machine-cells and part-families. The Proposed ACO (PACO) algorithm is tested by using many benchmark data sets. The grouping efficacy obtained by the PACO algorithm for a given benchmark problem instance is compared with the grouping efficacies obtained by the existing approaches. The comparison shows that the PACO performs very well in maximising the grouping efficacy. [Received: 2 May 2007; Revised: 1 November 2007; Accepted: 3 December 2007]

Suggested Citation

  • N. Megala & Chandrasekharan Rajendran & Ram Gopalan, 2008. "An ant colony algorithm for cell-formation in cellular manufacturing systems," European Journal of Industrial Engineering, Inderscience Enterprises Ltd, vol. 2(3), pages 298-336.
    • Handle: RePEc:ids:eujine:v:2:y:2008:i:3:p:298-336
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    Cited by:

    1. Papaioannou, Grammatoula & Wilson, John M., 2010. "The evolution of cell formation problem methodologies based on recent studies (1997-2008): Review and directions for future research," European Journal of Operational Research, Elsevier, vol. 206(3), pages 509-521, November.

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