Applying Fuzzy Logic Approachs to Supplier Selection Problem in Supply Chain Management
نویسندگان
چکیده
Supplier selection problem is an important issue in supply chain management and includes both tangible and intangible factors. Within the effect of the intangible factors, decision making in supplier selection problem includes a high degree of fuzziness and uncertainties in practice. In academic research to handle this uncertainty and vagueness, Fuzzy Set Theory is used as an effective tool. This paper is aimed to present a summary of fuzzy logic oriented approaches applied in literature to solve supplier selection problem. A “fuzzy Multi-objective Integer Programming Vendor Selection Problem” (f-MIP_VSP) model developed by Kumar, Chen’s hierarchy multiple criteria decisionmaking (MCDM) model based on fuzzy set theory (FST) with the concept of TOPSIS and a fuzzy multi-objective linear model developed by Ghodsypour are briefly analyzed in the paper.
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