Supply chain inventory control in iron & steel industry: A case study

This paper describes a case study of a supply chain inventory control that is concerned with the iron and steel industry. In the first, we consider an (s, S) policy based on the traditional EOQ (Economic Order Quantity) model. In the second, we consider fuzzy model based on fuzzy logic theory combined with the (s, S) policy and mike both ways have same assumptions and demands. We quantify the value of them in terms of operating performance. The simulation results show a final cost-effective inventory control system to specify an adequate supply chain inventory management for the iron and steel industry, therefore, it will lead the iron and steelmaker higher efficiency and have more benefits.