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A GRASP heuristic for the manufacturing cell formation problem

  • Juan Díaz

    ()

  • Dolores Luna

    ()

  • Ricardo Luna

    ()

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    In this work, we address the Manufacturing Cell Formation Problem (MCFP). Cellular Manufacturing is a production strategy that has emerged to reduce materials handling and set up times in order to reduce lead times in production systems and to improve customer’s service levels while reducing costs. We propose a GRASP heuristic to obtain lower bounds for the optimal solution of the problem. To evaluate the performance of the proposed method, we test the heuristic with different instances from the literature and compare the results obtained with those provided by other heuristic methods from the literature. According to the obtained results, the proposed GRASP procedure provides good quality lower bounds with reasonable computational effort. Copyright Sociedad de Estadística e Investigación Operativa 2012

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    File URL: http://hdl.handle.net/10.1007/s11750-010-0159-3
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    Article provided by Springer in its journal TOP.

    Volume (Year): 20 (2012)
    Issue (Month): 3 (October)
    Pages: 679-706

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    Handle: RePEc:spr:topjnl:v:20:y:2012:i:3:p:679-706
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    1. Sarker, Bhaba R., 2001. "Measures of grouping efficiency in cellular manufacturing systems," European Journal of Operational Research, Elsevier, vol. 130(3), pages 588-611, May.
    2. Mosier, Charles & Taube, Larry, 1985. "Weighted similarity measure heuristics for the group technology machine clustering problem," Omega, Elsevier, vol. 13(6), pages 577-579.
    3. Stanfel, Larry E., 1985. "Machine clustering for economic production," Engineering Costs and Production Economics, Elsevier, vol. 9(1-3), pages 73-81, April.
    4. Wu, Tai-Hsi & Chang, Chin-Chih & Yeh, Jinn-Yi, 2009. "A hybrid heuristic algorithm adopting both Boltzmann function and mutation operator for manufacturing cell formation problems," International Journal of Production Economics, Elsevier, vol. 120(2), pages 669-688, August.
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