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Single part reconfigurable flow line design using fuzzy best worst method

Author

Listed:
  • Gaurav Kumar

    (Maharishi Markandeshwar Deemed to be University)

  • Kapil Kumar Goyal

    (Dr B R Ambedkar National Institute of Technology)

  • Neel Kamal Batra

    (Maharishi Markandeshwar Deemed to be University)

  • Deepika Rani

    (Dr B R Ambedkar National Institute of Technology)

Abstract

Reconfigurable manufacturing system (RMS) has evolved over past two decades as an answer to the threats posed by the existing manufacturing scenario of uncertainty in product volume and mix. The selection of an adequate configuration is of utmost importance as it affects various performance parameters contributing to the responsiveness, economy and reliability of the system. This paper proposes a comprehensive decision making approach for selecting an optimal configuration for the single part reconfigurable flow line considering cost, machine utilization, operational capability, machine reconfigurability, configuration convertibility and reliability as the performance measures. The problem has been formulated as a multi criteria decision making problem and fuzzy best worst method is employed to aggregate the linguistic preferences of the decision maker to obtain the optimal weights of each criteria. A case study has been presented to demonstrate the effectiveness of the proposed approach in the design of single part reconfigurable flow line.

Suggested Citation

  • Gaurav Kumar & Kapil Kumar Goyal & Neel Kamal Batra & Deepika Rani, 2022. "Single part reconfigurable flow line design using fuzzy best worst method," OPSEARCH, Springer;Operational Research Society of India, vol. 59(2), pages 603-631, June.
    • Handle: RePEc:spr:opsear:v:59:y:2022:i:2:d:10.1007_s12597-021-00550-4
    DOI: 10.1007/s12597-021-00550-4
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    References listed on IDEAS

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    1. Wang, Ying-Ming & Luo, Ying & Hua, Zhongsheng, 2008. "On the extent analysis method for fuzzy AHP and its applications," European Journal of Operational Research, Elsevier, vol. 186(2), pages 735-747, April.
    2. Shokraneh K. Moghaddam & Mahmoud Houshmand & Kazuhiro Saitou & Omid Fatahi Valilai, 2020. "Configuration design of scalable reconfigurable manufacturing systems for part family," International Journal of Production Research, Taylor & Francis Journals, vol. 58(10), pages 2974-2996, May.
    3. Rezaei, Jafar, 2015. "Best-worst multi-criteria decision-making method," Omega, Elsevier, vol. 53(C), pages 49-57.
    4. Shokraneh K. Moghaddam & Mahmoud Houshmand & Omid Fatahi Valilai, 2018. "Configuration design in scalable reconfigurable manufacturing systems (RMS); a case of single-product flow line (SPFL)," International Journal of Production Research, Taylor & Francis Journals, vol. 56(11), pages 3932-3954, June.
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    Cited by:

    1. Fatih Ecer & Tolga Murat & Hasan Dinçer & Serhat Yüksel, 2024. "A fuzzy BWM and MARCOS integrated framework with Heronian function for evaluating cryptocurrency exchanges: a case study of Türkiye," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-29, December.

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