A hybrid fuzzy technique for the selection of warehouse location in a supply chain under a utopian environment

Abstract

This paper proposes a novel hybrid fuzzy multi criteria decision-making technique for warehouse location selection in a supply chain under a utopian environment. In the proposed methodology, the concept of fuzzy set theory is used to measure subjective performance ratings of warehouse locations and weights of criteria. The simple additive weighting method and factor rating systems are combined to calculate the final fuzzy values (FFVs) of each warehouse location. FFVs are implemented to evaluate preference relationships between the alternatives. Pairwise comparison of the preference relationships generate a fuzzy preference relation matrix (FPRM). This investigation introduces four key selection parameters computed from the FPRM, viz. row sum, column sum, row sum − column sum difference and row sum–column sum ratio to select the best warehouse location. The proposed algorithm is illustrated with the solution of a real life problem of warehouse location selection. A comparative analysis is accomplished to show the acceptability and effectiveness of the proposed method. The result of this study clearly establishes the proposed methodology as one of the most erudite decision-making tools in a supply chain.