Single part reconfigurable flow line design using fuzzy best worst method

Gaurav Kumar, Kapil Kumar Goyal (), Neel Kamal Batra and Deepika Rani
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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

OPSEARCH, 2022, vol. 59, issue 2, No 11, 603-631

Abstract: 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.

Keywords: Reconfigurable manufacturing system; Configuration selection; Performance measures; Fuzzy best worst method (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s12597-021-00550-4

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