A HYBRID DECISION SUPPORT SYSTEM FOR IRON ORE SUPPLY

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27360%2F12%3A86085353" target="_blank" >RIV/61989100:27360/12:86085353 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

A HYBRID DECISION SUPPORT SYSTEM FOR IRON ORE SUPPLY

Original language description

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.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

JG - Metallurgy, metal materials

OECD FORD branch

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Project

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Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2012

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Metalurgija = Metallurgy

ISSN

0543-5846

e-ISSN

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Volume of the periodical

51

Issue of the periodical within the volume

1

Country of publishing house

HR - CROATIA

Number of pages

3

Pages from-to

91-93

UT code for WoS article

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EID of the result in the Scopus database

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