Supplier Evaluation Using Fuzzy Analytical Network Process and Fussy TOPSIS

Supplier selection, which is the first step of the activities in the product realization process starting from the purchasing of material till to the end of delivering the products, is evaluated as a critical factor for the companies desiring to be successful in nowadays competition conditions. With the scope of this paper, supplier selection was considered as a multi criteria decision problem and its complexity is further aggravated if the highly important interdependence among the selection criteria is taken into consideration. The objective of this paper is to suggest a comprehensive decision method for identifying top suppliers by considering the effects of interdependence among the selection criteria. Proposed in this study is a hybrid model, which incorporates the technique of Analytic Network Process (ANP) in which fuzzy triangular priority weights using logarithmic least square method, Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) is adopted to rank competing suppliers in terms of their overall performances. An example is solved to illustrate the effectiveness and feasibility of the suggested model also identified the most potential supplier. © 2011 Jordan Journal of Mechanical and Industrial Engineering. All rights reserved