Preliminary communication

A hybrid decision support system for iron ore supply

A. Samolejová ; Faculty of Metallurgy and Materials Engineering, VŠB – Technical University of Ostrava, Ostrava, Czech Republic
J. Feliks ; Faculty of Management, AGH University of Technology and Science, Cracow, Poland
R. Lenort ; Faculty of Metallurgy and Materials Engineering, VŠB – Technical University of Ostrava, Ostrava, Czech Republic
P. Besta ; Faculty of Metallurgy and Materials Engineering, VŠB – Technical University of Ostrava, Ostrava, Czech Republic

Abstract

Many European metallurgical companies are forced to import iron ore from remote destinations. For these companies it is necessary to determine the amount of iron ore that will have to be ordered and to create such a delivery schedule so that the continuous operation of blast-furnace plant is not disrupted and there is no exceedingly large stock of this raw material. The objective of this article is to design the decision support system for iron ore supply which would efficiently reduce uncertainty and risk of that decision-making. The article proposes a hybrid intelligent system which represents a combination of different artificial intelligence methods with dynamic simulation technique for that purpose.

Keywords

iron ore supply; hybrid decision support system; neural network; simulation; fuzzy sets

Hrčak ID:

71182

URI

https://hrcak.srce.hr/71182

Publication date:

2.1.2012.

Article data in other languages: croatian

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