Considering to the key rule supplier performance on the cost, quality, on time delivery and level of services and also considering to we can not attain to a production with high quality and at least of cost without to have a satisfactory set of supplier, so supplier selection and it s order allocation is one of the most important critical activities of purchasing management in a supply chain. Furthermore, in real situations about supplier selection and it s order allocation many of input information such as customer demand, supplier capacity for production, supplier delivery and etc. are not precise exactly. So we can not use from a certain model in this situations, fuzzy set theory acts as a suitable tool for handling of uncertainty. To solve problem of uncertainty in supplier selection and it s order allocation in supply chain has proposed a MIP model which follows two objectives in the from of Chance-Constrained programming. The objective functions consist of minimizing of costs and maximizing total value of purchasing. Limitations is consist of applying allowed limit on supplier delivery, number of suppliers who select for supply a product, supplier capacity and traortation capacity and satisfying the customer demand. .
