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A hybrid decision support system for iron ore supply

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Author(s): A. Samolejová | J. Feliks | R. Lenort | P. Besta

Journal: Metalurgija
ISSN 0543-5846

Volume: 51;
Issue: 1;
Start page: 91;
Date: 2012;
Original page

Keywords: Ključne riječi iron ore supply | hybrid decision support system | neural network | simulation | fuzzy sets

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 effi ciently reduce uncertainty and risk of that decision-making. The article proposes a hybrid intelligent system which represents a combination of diff erent artifi cial intelligence methods with dynamic simulation technique for that purpose.
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