Evaluation and Ranking Suppliers in Supply Chain Network with Using MCDM Fuzzy Trapezoidal System

Nowadays, Organizations are well aware of their need to an efficient supply chain, so that they can compete with their rivals in today's global market and in the network and interconnected economy. Reducing the costs of production is the most important factor for survival in this competitive environment. Thus, selecting the appropriate supplier could have a great deal of influence on reducing the production costs and increasing the organization competitiveness ability. The aim of this paper is the determination and customization of the criteria, ranking and selecting the suppliers of SCM in Automobile Manufacturing Companies of Iran. This study, in terms of purpose, is an applied study and in terms of nature, is a descriptive study. In order to collection of data to test the proposed framework, it is conducted a case study in the automobile industry. In this study, the confirmatory factor analysis is used for selection and customization of the variables, and the fuzzy inference system is applied for determination of the weights of decision-making criteria, and the fuzzy TOPSIS method employed for evaluation and ranking the suppliers. The contribution of this study in the relevant literature to this field is usage and combination of three aforementioned methods. By means of literature review, the criteria categorized in 6 categories: Quality, Delivery, Technical skills, Services, Investment, and Product Design, and then, the selected supplier companies including Tavan, Borna, Saba, and Niroo-Gostaran have been analyzed and ranked.