Affiliations: [a] Faculty of Industrial Engineering, Urmia University of Technology, Urmia, Iran
| [b] Faculty of Science, Urmia University of Technology, Urmia, Iran
Correspondence:
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Corresponding author. Saeid Jafarzadeh Ghoushchi, Faculty of Industrial Engineering, Urmia University of Technology, Urmia, Iran. E-mail: s.jafarzadeh@uut.ac.ir.
Abstract: Substantial improvements are being every day made in decisions quality by introducing new Multi Criteria Decision Making (MCDM) methods. Due to the ambiguity in decision data, obtaining the real value of the criteria for modeling multi criteria decision making problems is very important. On the other hand, the challenges associated with the selection of sustainable suppliers will make managers and experts to develop and improve new decision-making methods to solve these challenges. Therefore, fuzzy best-worst method (FBWM) is used to weigh supplier selection criteria and then piecewise linear values function is used to rank suppliers in this paper. The proposed method addressed the problem of sustainable supplier selection in the oilseed industry as a case study in food supply chain. The findings of the suggested methodology showed that although the results of applying exponential and piecewise linear value function are somehow close to each other, compared with simple integrated functions using appropriate value functions can produce more reliable results and have a great impact on the performance of MCDM problems.
Keywords: Multi- criteria decision making, sustainable supplier selection, oilseed industry, piecewise linear value function, fuzzy set theory, best-worst method
