Management systems in the mining industry

Original paper

UDC 622.684 c A.Yu. Voronov, V.V. Aksenov, G.D. Buyalich, L.E. Mametyev, D.A. Pashkov, 2025

ISSN 0041-5790 (Print) • ISSN 2412-8333 (Online) • Ugol’ – Russian Coal Journal, 2025, №12

DOI: http://dx.doi.org/10.18796/0041-5790-2025-12-91-96

Authors

A.Yu. Voronov, V.V. Aksenov, G.D. Buyalich, L.E. Mametyev, D.A. Pashkov

T.F. Gorbachev Kuzbass State Technical University, Kemerovo, 650000, Russian Federation, e-mail: voronovayu@kuzstu.ru

Authors Information

Voronov A.Yu. – PhD (Engineering), Associate Professor, Associate Professor of the EA Department, T.F. Gorbachev Kuzbass State Technical University, Kemerovo, 650000, Russian Federation, e-mail: voronovayu@kuzstu.ru

Aksenov V.V. – Doctor of Engineering Sciences, Chief Researcher of the Scientific Center “Digital Technologies”, Kemerovo, 650000, Russian Federation, e-mail: 55vva42@mail.ru

Buyalich G.D. – Doctor of Engineering Sciences, Professor, Professor of the GMiK Department, T.F. Gorbachev Kuzbass State Technical University, Kemerovo, 650000, Russian Federation, e-mail: gdb@kuzstu.ru

Mametyev L.E. – Doctor of Engineering Sciences, Professor, Professor of the GMiK Department, T.F. Gorbachev Kuzbass State Technical University, Kemerovo, 650000, Russian Federation, e-mail: mle.gmk@kuzstu.ru

Pashkov D.A. – PhD (Engineering), Senior Researcher of the Scientific Center “Digital Technologies”, T.F. Gorbachev Kuzbass State Technical University, Kemerovo, 650000, Russian Federation, e-mail: pashkovda@kuzstu.ru

Abstract

Currently, the operating costs of mining enterprises (especially quarries) tend to rise, while traditional fleet management systems cannot handle the scale, stochasticity, and autonomy required for increasingly complex open-pit operations. Researchers therefore explore alternatives, including AI-based algorithms aligned with “Mining 4.0” requirements. This article reviews management systems in the mining industry, outlining their evolution for quarries and the emerging need for intelligent algorithms.

Keywords

Open-pit mining, management system, artificial intelligence, mining equipment, Mining 4.0, planning.

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Acknowledgements

The work was carried out with the financial support of the Ministry of Science and Higher Education of the Russian Federation under the agreement dated 30.09.2022 № 075-15-2022-1198 with the Kuzbass State Technical University named after T.F. Gorbachev’s “Comprehensive scientific and technical program for a full innovation cycle ‘Development and implementation of a set of technologies in the fields of exploration and extraction of solid minerals, industrial safety, bioremediation, creation of new products of deep processing from coal raw materials while consistently reducing the environmental impact and risks to the life of the population’ (KNTP ‘Clean coal – Green Kuzbass’),” approved by the decree of the Government of the Russian Federation dated May 11, 2022 No. 1144-r within the framework of the event “Development and creation of an unmanned shuttle-type mining dump truck with a lifting capacity of 220 tons” in terms of carrying out research and development work.

For citation

Voronov A.Yu., Aksenov V.V., Buyalich G.D., Mametyev L.E., Pashkov D.A. Management systems in the mining industry. Ugol’. 2025;(12):91-96. (In Russ.). DOI: 10.18796/0041-5790-2025-12-91-96.

Paper Info

Received October 3, 2025

Reviewed November 15, 2025

Accepted November 28, 2025