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Erschienen in:
2010 | OriginalPaper | Buchkapitel
A Decision Support System for Ore Blending Cost Optimization Problem of Blast Furnaces
verfasst von : Ruijun Zhang, Jizhong Wei, Jie Lu, Guangquan Zhang
Erschienen in: Advances in Intelligent Decision Technologies
Verlag: Springer Berlin Heidelberg
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In iron and steel enterprises, it is difficult to obtain the lowest-cost optimal solution to an ore blending problem for blast furnaces by using the traditional trial-fault-trial (TFT) method because of the complexity of materials and burden of workflow. Here, we develop a set of decision support systems (DSS) software to solve the problem. Using the basics of analyzing business flow and the working process of ore blending, we pre-process the data for materials and elements, abstract a non-linear model of ore blending for a blast furnace, design the architecture for ore blending cost optimization DSS which integrates a database, a model base and a knowledge base, and solve the problem. The system has made economic gains since it was implemented in Xiangtan Iron & Steel Group Co. Ltd., China, in September 2008.