Abstract—Nowadays supply chain management is one of the most important affairs that applying its new approaches is essential among competitive industries and markets. For any company, the most significant decision is to purchase goods, materials and services from suppliers. Now the better suppliers perform the better company do. So the role of suppliers is critical in the competitive markets. Supplier selection is the first step of the supply chain management. Supplier selection is a problem for any organization because of its role on reducing cost in the supply chain management. It is little complex because of existing various criteria and it is the multi criteria problem and there are experts in any company to make decision in accordance with multiple criteria. This paper proposed an integrated method using Analytic Network Process (ANP) and Fuzzy-Technique for Order Preference by Similarity to the Ideal Solution (FTOPSIS) .this paper used ANP to calculate the weights of each criteria of the model and for the sake of complexity in evaluation to prepare exact numerical values for the criteria is difficult, fuzzy TOPSIS is used in this paper to select the best supplier.

Index Terms—Component, ANP, fuzzy TOPSIS, supplier selection.

The authors are with the Industrial Engineering Department Sharif University of Technology Tehran, Iran (e-mail: aya6425@gmail.com, h.charkhgard@gmail.com).

Cite: Ali A. Yahya Tabar and Hadi Charkhgard, "Supplier Selection in Supply Chain Managment by Using ANP and Fuzzy TOPSIS," International Journal of Applied Physics and Mathematics  vol. 2, no. 6, pp. 458-461, 2012.