Multi-criteria selection of a dump truck model for deep-level mining

DOI: https://doi.org/10.30686/1609-9192-2025-5S-36-42

Читать на русскоя языке K.V. Burmistrov, N.A. Osintsev, A.N. Rakhmangulov, S.E. Gavrishev
 Nosov Magnitogorsk State Technical University, Magnitogorsk, Russian Federation
Russian Mining Industry №5S/ 2025 p. 36-42

Abstract: The number and complexity of technical, technological, organizational, social, economic, environmental, and other challenges associated with dump truck operations increased significantly during the development of deep levels in open-pits and transition to the combined mining methods of ore deposits. The efficiency of the haulage system under such conditions depends on numerous factors. Modern multi-criteria decision-making (MCDM) methods enable high-precision accounting of these factors. This study aims to develop a dump truck selection methodology based on multi-criteria analysis. The research framework includes analyzing current dump truck models for the surface and underground mining operations and designing a selection methodology using the MCDM techniques. The proposed approach accounts for the majority of the known factors that influence dump truck selection, quantifies their impact, calculates the criteria weights, and enables comprehensive model comparisons. Computational experiments using the hybrid BWM-CRADIS method at one of the Ural-region mining enterprises helped to identify the dump truck model best aligned with the ongoing transformation of the haulage system.

Keywords: deep open-pit mines, haul truck model, multi-criteria methods, criteria system, haul truck selection

Acknowledgements: The work was carried out with the financial support of the Russian Science Foundation No. 23-11-00164 https://rscf.ru/project/23-11-00164

For citation: Burmistrov K.V., Osintsev N.A., Rakhmangulov A.N., Gavrishev S.E. Multi-criteria selection of a dump truck model for deep-level mining. Russian Mining Industry. 2025;(5S):36–42. (In Russ.) https://doi.org/10.30686/1609-9192-2025-5S-36-42

Article info

Received: 25.08.2025

Revised: 06.10.2025

Accepted: 16.10.2025

Information about the authors

Konstantin V. Burmistrov – Dr. Sci. (Eng.), Professor of Department of Mineral Deposit Development, Nosov Magnitogorsk State Technical University, Magnitogorsk, Russian Federation; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Nikita A. Osintsev – Dr. Sci. (Eng.), Professor of Department of Logistics and Transportation Systems Management, Nosov Magnitogorsk State Technical University, Magnitogorsk, Russian Federation; https://orcid.org/0000-0003-1168-6725; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Aleksandr N. Rakhmangulov – Dr. Sci. (Eng.), Professor of Department of Logistics and Transportation Systems Management, Nosov Magnitogorsk State Technical University, Magnitogorsk, Russian Federation; https://orcid.org/0000-0001-7862-4743; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Sergey E. Gavrishev – Dr. Sci. (Eng.), Professor, Head of Department of Mineral Deposit Development, Nosov Magnitogorsk State Technical University, Magnitogorsk, Russian Federation; https://orcid.org/0000-0001-8594-8463; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

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