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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

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.

Suggested Citation

  • Ah kioon, Steve & Bulgak, Akif Asil & Bektas, Tolga, 2009. "Integrated cellular manufacturing systems design with production planning and dynamic system reconfiguration," European Journal of Operational Research, Elsevier, vol. 192(2), pages 414-428, January.
    • Handle: RePEc:eee:ejores:v:192:y:2009:i:2:p:414-428
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    References listed on IDEAS

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    Cited by:

    1. Seebacher, Gottfried & Winkler, Herwig, 2014. "Evaluating flexibility in discrete manufacturing based on performance and efficiency," International Journal of Production Economics, Elsevier, vol. 153(C), pages 340-351.
    2. Ricardo Soto & Broderick Crawford & Rodrigo Olivares & César Carrasco & Eduardo Rodriguez-Tello & Carlos Castro & Fernando Paredes & Hanns de la Fuente-Mella, 2020. "A Reactive Population Approach on the Dolphin Echolocation Algorithm for Solving Cell Manufacturing Systems," Mathematics, MDPI, vol. 8(9), pages 1-25, August.
    3. Ting Qu & Matthias Thürer & Junhao Wang & Zongzhong Wang & Huan Fu & Congdong Li & George Q. Huang, 2017. "System dynamics analysis for an Internet-of-Things-enabled production logistics system," International Journal of Production Research, Taylor & Francis Journals, vol. 55(9), pages 2622-2649, May.
    4. 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.
    5. James Carlopio & Michael Harvey & Timothy Kiessling, 2012. "A key to prosperity in hypercompetitive markets: organizational “hyperflexibility”," Tržište/Market, Faculty of Economics and Business, University of Zagreb, vol. 24(2), pages 189-200.
    6. 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.
    7. Hanxin Feng & Tangbin Xia & Wen Da & Lifeng Xi & Ershun Pan, 2019. "Concurrent design of cell formation and scheduling with consideration of duplicate machines and alternative process routings," Journal of Intelligent Manufacturing, Springer, vol. 30(1), pages 275-289, January.

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