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Decision support for design of reconfigurable rotary machining systems for family part production

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  • Olga Battaïa
  • Alexandre Dolgui
  • Nikolai Guschinsky

Abstract

To remain competitive in currently unpredictable markets, the enterprises must adapt their manufacturing systems to frequent market changes and high product variety. Reconfigurable manufacturing systems (RMSs) promise to offer a rapid and cost-effective response to production fluctuations under the condition that their configuration is attentively studied and optimised. This paper presents a decision support tool for designing reconfigurable machining systems to be used for family part production. The objective is to elaborate a cost-effective solution for production of several part families. This design issue is modelled as a combinatorial optimisation problem. An illustrative example and computational experiments are discussed to reveal the application of the proposed methodology. Insight gained would be useful to the decision-makers managing the configuration of manufacturing systems for diversified products.

Suggested Citation

  • Olga Battaïa & Alexandre Dolgui & Nikolai Guschinsky, 2017. "Decision support for design of reconfigurable rotary machining systems for family part production," International Journal of Production Research, Taylor & Francis Journals, vol. 55(5), pages 1368-1385, March.
    • Handle: RePEc:taf:tprsxx:v:55:y:2017:i:5:p:1368-1385
    DOI: 10.1080/00207543.2016.1213451
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    Cited by:

    1. Weckenborg, Christian & Schumacher, Patrick & Thies, Christian & Spengler, Thomas S., 2024. "Flexibility in manufacturing system design: A review of recent approaches from Operations Research," European Journal of Operational Research, Elsevier, vol. 315(2), pages 413-441.
    2. Battaïa, Olga & Dolgui, Alexandre, 2022. "Hybridizations in line balancing problems: A comprehensive review on new trends and formulations," International Journal of Production Economics, Elsevier, vol. 250(C).
    3. Battaïa, Olga & Dolgui, Alexandre & Guschinsky, Nikolai, 2023. "MIP-based heuristics for combinatorial design of reconfigurable rotary transfer machines for production of multiple parts," International Journal of Production Economics, Elsevier, vol. 262(C).

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