: Due to intense global competition, firms must focus on quickly and precisely responding to customer demands. These pressures prompt business enterprises to actively invest in supply chain management (SCM). SCM attempts to reduce supply chain (SC) risk and uncertainty, thus improving customer service and resulting in increased competitiveness, customer satisfaction and profitability. Supplier selection is one of the parts of SCM which has an important role in SCM optimization and coordination. In this thesis, an integrated and comprehensive model is presented. The proposed model is addressed for the organization strategies and supply risk to identify supplier selection criteria. A fuzzy SMARTS is applied to evaluate the alternative suppliers, and deals with the rating of both qualitative and quantitative criteria. This approach uses the least comparisons in comparison with other methods. With considering compensation and non compensation criteria, a step by step process according to company’s requirements is prepared. An empirical study in Mobarekeh Steel Complex is conducted to demonstrate the proposed methodology. Finally, a sensitivity analysis is done and the results show robustness of the model. Key words: supplier selection, SCM, Fuzzy SMARTS, strategic, risk
