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.

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Date created

• 2010 July 25-2010 July 29

Type

• Document

Processing Activity

• Processing documentation available at: https://wiki.albany.edu/display/SCA/Processing+Ingested+Digital+Files

License

• Creative Commons BY-NC-ND Attribution-NonCommercial-NoDerivs 4.0 International

  
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ITEM CONTEXT

Part of

17bfad39e1d09bfe17f82d7ae001449f

Scope and Contents

Part of

23d738ba88f8333bc39725f9cb5bd0b8

Scope and Contents

Part of

516b485dacfb3c26da448243f0948912

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Collection

System Dynamic Society Records

Scope and Contents

Collecting area

• This collection is part of the University Archives