Evaluate, analyze and selection of suppliers based on supply chain approach, Fuzzy TOPSIS (The study of Iran-Tabriz Tractor Manufacturing Company)

In today's world, competition between companies in any industry has been so stressful and organizations that controls any moment become shorter life products and the emergence of similar products are capable of more performance. Therefore all large organizations to maintain their sustainable competitive market must accommodate and synchronize themselves with their customer’s needs. On the other hand, aligning and matching customer demands require organizations to constantly note how the process must focus on the products. Since the very high volume of activities related to these products, the company is done by external suppliers, attention and care on how they function is very important effects. Today, with considering the crucial and important factors of the customer’s perspective such as quality, price, service, flexibility and etc. we can get the customer satisfaction and to help this process are not things that could be a part of the supply chain and to improve product supply. Because improving each of these parameters is subject to the total collection to improve supply-chain products. This study presented a fuzzy decision making method for supplier selection problems in the supply chain. In this research, in order to evaluate and select the suppliers for all scales and its weight specification, language phrases used by experts and judges in IRAN_TABRIZ Tractor Manufacturing Company and engineering & supplying tractor Parts Company, have been used. Phrasal ratings have been expressed by triangle fuzzy numbers. Finally, using Fuzzy TOPSIS written in C++ language, the ranking of the suppliers for tractor manufacturing company in supply chain and the consequences of the mentioned above were discussed and investigated.