Analyzing the impact of introducing automated mining process control systems on the efficiency and safety of mining enterprises in Russia
S.G. Eremin1, Yu.V. Kapitanets2, A.V. Zubenko1, I.A. Bartoshevich1, N.P. Kushchev3
1 Financial University, Moscow, Russian Federation
2 Plekhanov Russian University of Economics, Moscow, Russian Federation
3 Moscow Aviation Institute, Moscow, Russian Federation
Russian Mining Industry №5 / 2024 p.101-107
Abstract: The purpose of the work is to assess the effects from introduction of the automated mining process control systems (AMPCS) and to develop recommendations for their further development in the industry. The research methodology includes: 1) analysis of the functional features and architecture of contemporary AMPCSs; 2) collection and statistical analysis of data on the key performance and safety indicators for enterprises that have implemented the AMPCSs in comparison with the reference group; 3) development and validation of mining process optimization models based on the AMPCS data using the machine learning and operations research methods; 4) execution of an expert-level survey to identify the success factors and barriers in implementation of the AMPCSs. The results have shown that introduction of the AMPCS provides a significant improvement of the key performance indicators (15-20% increase in labour productivity, 10-15% reduction in unit costs) and the key safety indicators (20-25% reduction in accidents minimized downtime) of mining enterprises. The developed optimization models demonstrate high efficiency when using real data.
Keywords: mining industry, automated control systems, key performance indicators, key safety indicators, digital transformation
For citation: Eremin S.G., Kapitanets Yu.V., Zubenko A.V., Bartoshevich I.A., Kushchev N.P. . Analyzing the impact of introducing automated mining process control systems on the efficiency and safety of mining enterprises in Russia. Russian Mining Industry. 2024;(5):101–107. (In Russ.) https://doi.org/10.30686/1609-9192-2024-5-101-107
Article info
Received: 13.07.2024
Revised: 27.08.2024
Accepted: 12.09.2024
Information about the authors
Sergey G. Eremin – Cand. Sci. (Law), Associate Professor, Department of State and Municipal Management, Financial University, Moscow, Russian Federation; https://orcid.org/0000-0002-1599-391X; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Yuliya V. Kapitanets – Cand. Sci. (Law), Head of the Department of State and Municipal Management, Plekhanov Russian University of Economics, 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, Department of State and Municipal Management,, Financial University, Moscow, Russian Federation; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Ivan A. Bartoshevich – Assistant Lecturer, Department of State and Municipal Management, Financial University, Moscow, Russian Federation; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Nikolay P. Kushchev – Cand. Sci. (Sociol.), Associate Professor, Department of Human Resources, Moscow Aviation Institute, Moscow, Russian Federation; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
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