Abstarct: With regard to fast developments in steel industry of underdeveloped countries and confrontation with several risks and uncertainties, it is necessary to try to reduce costs and optimize the production supply and design. The goal of this study is presenting a two-level supplier-producer chain model in Iranian steel industry proportionate to supply chain management concepts. Detection of threats and risks menacing the steel industry is a first step to manage the supply chain of the Iranian steel industry. Therefore, the risks in steel supply chain were comprehensively identified and classified in the form of a hierarchical model. In this regard, the risks were presented in 4 levels baxsed on RBS method. Then, risk assessment and grading in Isfahan Steel Company was done using fuzzy DAHP and fuzzy TOPSIS methods by introducing a comprehensive set of criteria (14 criteria). Accordingly, the risks in supply chain were allocated the highest rank of risks, and were introduced as the most critical risks in this set. Afterwards, to assess the customers’ requirements concerning steel products and meet their variable and unreliable demand, a fuzzy GP model was designed in order to determine the general production level in each group of products from Isfahan Steel Complex. For this purpose, 12 groups of products were considered in Isfahan Steel Complex. The mathematical model presented for comprehensive production planning of product groups has 3 qualitative and 3 quantitative goals with different priorities, and the main objective function of the problem is in the form of maximizing the satisfaction level of the fuzzy goals of the problem. In the proposed model, we have attempted to minimize the total production and maintenance costs as well as retarded orders , maximize the product quality and minimize the delay in product delivery and production risk as much as possible by considering the available supply, demand, machinery and warehouse capacity. With the above solution, production, supply, retarded orders, subcontract and sales for 12 groups (families) of products in Isfahan Steel Complex were predicted and planned for four periods (spring 2014 to winter 2015). Accordingly, the Isfahan Steel Complex should produce a total of 2.8 million metric tons during the mentioned period. To produce this quantity of product, it is necessary to plan the raw materials purchase. Finally, with a focus on supply and purchase of raw materials in steel industry, a combined model was presented by simultaneous consideration of several factors to assess and select the coarse ore suppliers and allocation of the optimized order for them. In this regard, first a set of criteria (including 7 quantitative and 5 qualitative criteria) were introduced to assess and select the iron ore suppliers. Since risk is a key criterion neglected in studies for assessment and selection of the supplier, supplier risk assessment has been dealt with by introducing a combined risk index. Supplier assessment has been done using Fuzzy DAHP and Fuzzy TOPSIS methods by calculating this index and consideration of the other criteria. Then, a GP-Fuzzy DAHP mathematical planning model was presented to allocate the optimum order quantity for each supplier through identification of idealistic and systemic limitations. baxsed on the results of model solution, to achieve the planned production level in the previous step to meet the customers’ demands, the Steel Complex must purchase iron in accordance with the reduction capacity of Mishdawan mine, and the rest of requirement must be purchased from Markazi, Jalalabad and Amir sangan mines