Supplier selection using integrated fuzzy TOPSIS and MCGP: a case study

Abstract

This study provides an overview of the fuzzy TOPSIS and Multi-Choice Goal Programming (MCGP) methods for Multi-Criteria Decision-Making (MCDM) problem under uncertain environments. Supplier selection is mostly a complex multi-criteria problem which consists of qualitative and quantitative criteria. Those criteria should be considered advertently as a final decision in comprehensive and objective supplier selection as well. This study deal with the optimum decision making for selecting supplier and allocating order by applying the proposed method of integrated fuzzy TOPSIS and MCGP (Multi-Choice Goal Programming). To deal with the uncertain and imprecise judgment of decision makers, a Fuzzy TOPSIS is utilized to express it by triangular fuzzy numbers. The final supplier selection and order allocation are obtained by integrating the closeness coefficients to the MCGP model. A numerical example is given to clarify the main results developed in this paper. (C) 2013 The Authors. Published by Elsevier Ltd.