Multi-agent techniques for planning stripping operations and minimizing environmental risks in mining operations

DOI: https://doi.org/10.30686/1609-9192-2025-1-170-176

Читать на русскоя языкеN.L. Krasyukova , A.Z. Zubets, S.G. Eremin, A.V. Zubenko, A.M. Laffakh
Financial University under the Government of the Russian Federation, Moscow, Russian Federation
Russian Mining Industry №1 / 2025 p. 170-176

Abstract: The research is focused on analyzing the potential of using the multi-agent techniques to optimize stripping operations and reduce the adverse environmental impact in the mining industry. The objective of the work is to develop a comprehensive model for planning of the stripping operations based on multi-agent systems with account of environmental factors. System analysis, simulation modeling, and multi-criteria optimization methods were used as the methodological basis. The empirical selection included data on 25 mining enterprises in Russia over the period of 2018-2023. The key results demonstrate that implementation of the multi-agent systems can shorten the stripping planning time by 27%, cut the volume of transported overburden by 18% and reduce CO2 emissions by 22%. The developed model provides an increase in the forecast accuracy up to 94% and an improvement in the overall efficiency of the stripping operations by 20-25%. The conclusions obtained are of high practical significance for the sustainable development of the mining sector and can serve as a basis for further research in the field of green technologies.

Keywords: multi-agent systems, stripping operations, environmental sustainability, mining industry, digitalization, simulation modeling

For citation: Krasyukova N.L., Zubets A.Z., Eremin S.G., Zubenko A.V., Laffakh A.M. Multi-agent techniques for planning stripping operations and minimizing environmental risks in mining operations. Russian Mining Industry. 2025;(1):170–176. (In Russ.) https://doi.org/10.30686/1609-9192-2025-1-170-176

Article info

Received: 13.12.2024

Revised: 22.01.2025

Accepted: 23.01.2025

Information about the authors

Natalya L. Krasyukova – Dr. Sci. (Econ.), Professor of the Department of State and Municipal Administration, Financial University under the Government of the Russian Federation, Moscow, Russian Federation; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Anton Z. Zubets – Cand. Sci. (Econ.), Associate Professor of the Department of State and Municipal Administration, Financial University under the Government of the Russian Federation, Moscow, Russian Federation; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Sergey G. Eremin – Cand. Sci. (Law), Associate Professor of the Department of State and Municipal Administration, Financial University under the Government of the Russian Federation, Moscow, Russian Federation; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Andrey V. Zubenko – Cand. Sci. (Econ.), Associate Professor of the Department of State and Municipal Administration, Financial University under the Government of the Russian Federation, Moscow, Russian Federation; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Adam M. Laffakh – Assistant at the Department of State and Municipal Administration, Financial University under the Government of the Russian Federation, Moscow, Russian Federation; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

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