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Integrated cellular manufacturing systems design with production planning and dynamic system reconfiguration

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  • Ah kioon, Steve
  • Bulgak, Akif Asil
  • Bektas, Tolga
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    Abstract

    This paper presents and analyzes a comprehensive model for the design of cellular manufacturing systems (CMS). A recurring theme in research is a piecemeal approach when formulating CMS models. In this paper, the proposed model, to the best of the authors' knowledge, is the most comprehensive one to date with a more integrated approach to CMS design, where production planning and system reconfiguration decisions are incorporated. Such a CMS model has not been proposed before and it features the presence of alternate process routings, operation sequence, duplicate machines, machine capacity and lot splitting. The developed model is a mixed integer non-linear program. Linearization procedures are proposed to convert it into a linearized mixed integer programming formulation. Computational results are presented by solving some numerical examples, extracted from the existing literature, with the linearized formulation.

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    Bibliographic Info

    Article provided by Elsevier in its journal European Journal of Operational Research.

    Volume (Year): 192 (2009)
    Issue (Month): 2 (January)
    Pages: 414-428

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    Handle: RePEc:eee:ejores:v:192:y:2009:i:2:p:414-428

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    Web page: http://www.elsevier.com/locate/eor

    Related research

    Keywords: Flexible manufacturing systems Cellular manufacturing systems design Production planning Integer programming;

    References

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    1. Nsakanda, Aaron Luntala & Diaby, Moustapha & Price, Wilson L., 2006. "Hybrid genetic approach for solving large-scale capacitated cell formation problems with multiple routings," European Journal of Operational Research, Elsevier, vol. 171(3), pages 1051-1070, June.
    2. Uddin, Muhammad Kutub & Shanker, Kripa, 2002. "Grouping of parts and machines in presence of alternative process routes by genetic algorithm," International Journal of Production Economics, Elsevier, vol. 76(3), pages 219-228, April.
    3. Singh, N., 1993. "Design of cellular manufacturing systems: An invited review," European Journal of Operational Research, Elsevier, vol. 69(3), pages 284-291, September.
    4. Venugopal, V. & Narendran, T. T., 1992. "Cell formation in manufacturing systems through simulated annealing: An experimental evaluation," European Journal of Operational Research, Elsevier, vol. 63(3), pages 409-422, December.
    5. Defersha, Fantahun M. & Chen, Mingyuan, 2006. "A comprehensive mathematical model for the design of cellular manufacturing systems," International Journal of Production Economics, Elsevier, vol. 103(2), pages 767-783, October.
    6. Caux, C. & Bruniaux, R. & Pierreval, H., 2000. "Cell formation with alternative process plans and machine capacity constraints: A new combined approach," International Journal of Production Economics, Elsevier, vol. 64(1-3), pages 279-284, March.
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    Cited by:
    1. Safaei, Nima & Tavakkoli-Moghaddam, Reza, 2009. "Integrated multi-period cell formation and subcontracting production planning in dynamic cellular manufacturing systems," International Journal of Production Economics, Elsevier, vol. 120(2), pages 301-314, August.
    2. Xue, Guisen & Felix Offodile, O. & Zhou, Hong & Troutt, Marvin D., 2011. "Integrated production planning with sequence-dependent family setup times," International Journal of Production Economics, Elsevier, vol. 131(2), pages 674-681, June.

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