Supplier selection by Using Integrated Fuzzy Topsis and Multi Criteria Goal Decision Making Approach

Abstract

Supplier selection is a very important point in the supply chain management, because supplier selection is a key factor in supply chain management, satisfying both decision makers and buyers expectations. In this research multi-resource problem for supplier selection problem has been considered. The company should select the qualified suppliers among the different ones. In this proposed method the decision maker’s preferences for supplier selection problem have been considered. Also criteria such as buyer’s budget, suppliers’ capacities and delivery time have been considered. In the other words, fuzzy topsis approach helps decision maker’s needs and by integrating in multi goal programming enables them to dedicate quantities orders to each supplier by considering total procurement value. In this research, multi criteria decision making has been used as a useful approach for solving this kind of problem. By using science and non science variables, this research uses integrated fuzzy technique by relating to ideal solution for solving the problem. The benefit of this research enables decision makers to consider multi-desirable levels for supplier selection problem. The objects of the research are: 1.selecting the best suppliers by fuzzy   approach 2.reducing cost and increasing benefit 3.attracting more customers. In this research this method has been used in a very large famous electronically company (Pars Khazar). This company wanted to select best suppliers among different suppliers. This approach has been used in this company with different decision makers approaches and different criteria so it has been useful approach to  select the best suppliers.