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Single part reconfigurable flow line design using fuzzy best worst method

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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.

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Authors and Affiliations

  1. Maharishi Markandeshwar Deemed to be University, Mullana, Punjab, India

    Gaurav Kumar & Neel Kamal Batra

  2. Dr B R Ambedkar National Institute of Technology, Jalandhar, Punjab, India

    Kapil Kumar Goyal & Deepika Rani

Authors
  1. Gaurav Kumar
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  2. Kapil Kumar Goyal
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  3. Neel Kamal Batra
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  4. Deepika Rani
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Correspondence to Kapil Kumar Goyal.

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The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

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Kumar, G., Goyal, K.K., Batra, N.K. et al. Single part reconfigurable flow line design using fuzzy best worst method. OPSEARCH 59, 603–631 (2022). https://doi.org/10.1007/s12597-021-00550-4

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