Specifying main effective factors on domestic steel Price: Case study of Iran steel market

摘要

Traditionally, production and consumption of steel are indicators of the development process in a society. In the world village, domestic and world indexes and prices highly affect each other. Differences between the supply and current demand are the main factors determining the steel price. In this paper, by an Artificial Neural Network we specify indispensable variable to identify the supply and demand for steel. Time of Contract, Expected Price, Volume of supply, Prior contract volume, Global Steel Price, Time between contract and transfer, Previous Price, Volume of Demand, Different Between Supply & Demand, Exchange Rate are specified as the main variables. Then, by a System Dynamics approach we analyze intricate system functioning against changing economic parameters in Iran.