Applying VIKOR, TOPSIS and SAW in Fuzzy Environment for Ranking Suppliers in Supply Chain: A Case study

The purpose of this paper is to develop a decision model to help decision makers withselection of the appropriate supplier.Supplier selection is a multi-criteria decisionmaking processencompassing various tangible and intangible factors. Both risks and benefits of using a vendor in supplychain are identified for inclusion in the evaluation process. Increasingly, global competition is evolving from enterprise-specific to supplychain-wide (Lambert and Cooper, 2002). With the fast pace of globalization and within an increasingly complex and unstable external environment, firms areresponding by concentrating on core activities and outsourcing other functions toexternal suppliers.This paper is aimed to present a fuzzy decision-making approach to deal with the supplier selection problem in supply chain system. At first, we study the ranking of existing suppliers in supply chain in Iran automobile Company using MADM. In order to reach our aim and regarding to Iranautomobile’s environmental and surrounding conditions, requisite indices for ranking the suppliers are recognized and localized. Then the suppliers of an Applying VIKOR, TOPSIS and SAW in Fuzzy Environment for Ranking Suppliers in Supply Chain: A Case study 11 especial part are ranked using Fuzzy TOPSIS, VIKOR and SAW. According the finings, Borna Battery is selected as the best supplier for the mentioned company.

Multi-attributes Decision Making, Supplier, Supply Chain, VIKOR, TOPSIS, SAW, Fuzzy trapezoid digits.