2018 impact factor: 0,362

 

Two-year RSCI impact factor

Five-year RSCI impact factor

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Abstract

In a highly competitive domestic and global market public joint stock company "Magnitogorsk iron and steel works» solves interrelated problems of increasing production, improving product quality and continuous updating of the range in accordance with the needs of consumers. The solution of the listed tasks is possible on condition of continuous improvement of technological processes at all stages of metallurgical production. Part of this improvement is the introduction of decision support systems (DSS), which allow to find the most appropriate solutions based on a combination of theoretical knowledge and practical experience. The problems of development of decision support systems in the steelmaking process using the methodology of knowledge engineering are considered. A prototype of a decision support system including calculation modules and a knowledge base for metallurgical processes based on the ontological paradigm is described.

Keywords

Decision support system (DSS), model, knowledge base, ontology.

Zaretsky Mark Valentinovich – Assistaut Professor of the Department of "Computer Science and Programming" "Nosov Magnitogorsk State Technical University". E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it..

Sokolova Ekaterina Vladislavovna - Post-graduate Student of the Institute Of Metallurgy, Mechanical Engineering and Material Processing, "Nosov Magnitogorsk state technical University". Email: This email address is being protected from spambots. You need JavaScript enabled to view it.

Vlasova Polina Sergeevna – Master Degree Student of the Institute of Metallurgy, Mechanical Engineering and Material Processing, "Nosov Magnitogorsk State Technical University". Email: This email address is being protected from spambots. You need JavaScript enabled to view it.