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Evolutionary strategy for manufacturing cell design


  • Stawowy, Adam


The problem of grouping parts into families and machines into cells (manufacturing cell formation problem) is considered with the objective of maximizing the grouping efficacy. A non-specialized and non-hybridized evolutionary strategy (ES) is proposed and analyzed for solving this problem. The algorithm uses a modified permutation with separators encoding scheme and unique concept of separators' movements during mutation. The set of experiments confirmed that the proposed approach outperforms any known heuristics. For 7 out of 34 problems considered, better solutions have been found (with the same number of cells as in literature), as compared to the previously published results. Moreover, there are 5 problems for which ES has produced the best known solutions with different number of cells than from the literature.

Suggested Citation

  • Stawowy, Adam, 2006. "Evolutionary strategy for manufacturing cell design," Omega, Elsevier, vol. 34(1), pages 1-18, January.
  • Handle: RePEc:eee:jomega:v:34:y:2006:i:1:p:1-18

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    References listed on IDEAS

    1. Stanfel, Larry E., 1985. "Machine clustering for economic production," Engineering Costs and Production Economics, Elsevier, vol. 9(1-3), pages 73-81, April.
    2. Ravi Kumar, K. & Kusiak, Andrew & Vannelli, Anthony, 1986. "Grouping of parts and components in flexible manufacturing systems," European Journal of Operational Research, Elsevier, vol. 24(3), pages 387-397, March.
    3. Mosier, Charles & Taube, Larry, 1985. "Weighted similarity measure heuristics for the group technology machine clustering problem," Omega, Elsevier, vol. 13(6), pages 577-579.
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    Cited by:

    1. Hachicha, Wafik & Masmoudi, Faouzi & Haddar, Mohamed, 2006. "Formation of machine groups and part families in cellular manufacturing systems using a correlation analysis approach," MPRA Paper 3975, University Library of Munich, Germany, revised 04 Jan 2007.

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    Cell formation problem Heuristics;


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