Fuzzy Topsis and Goal Programming Integration Models to Select Suppliers and Allocation of Orders

Price is not only criterion for assortment in a supplier selection problem, but also a multi criteria decision-making problem (MCDM) including quantitative and qualitative criteria such as price, quality of goods and services, delivery time and etc. Because of inaccurate information to make decisions based on inaccurate information and linguistic terms, these criteria, in the real world, may also be included sub criteria. So close to reality for deciding in these cases, fuzzy sets theory can be used. In this study, researchers have presented an integrated fuzzy TOPSIS and multi choice goal programming approach for the supplier selection as well as the allocation of orders to suppliers. Due to the use of inaccurate and vague information such as linguistic terms, in the first part of model, the combined application of fuzzy set theory and group decision making with TOPSIS was utilized. Using this method of ranking suppliers was paid. In the second part of model suppliers which have been selected in first stage had order allocation with considering problem constraints and using weights that have given from first part.