Searching for reserves to increase productivity of excavator-automobile complexes using computer simulation

DOI: https://doi.org/10.30686/1609-9192-2023-6-148-154

Читать на русскоя языкеA.G. Zhuravlev, I.A. Glebov, V.A. Cherepanov
Institute of Mining of Ural branch of the Russian Academy of Sciences, Ekaterinburg, Russian Federation
Russian Mining Industry №6 / 2023 р. 148-154

Abstract: An analysis of the performance indicators of the main high-performance excavators used at leading coal mines and iron ore mining and processing plants in Russia showed that the actual average monthly productivity of excavators achieved at mining enterprises is lower than the calculated technical one by 30% or more. To increase it, it is necessary to minimize negatively influencing factors and optimize the operation of the excavator-automobile complexes. The possibility of this is confirmed by the information available in the scientific and technical literature on record productivity indicators established at mining and processing plants and open-pit mines during full-scale experiments. The choice of excavator-automobile complexes is a relevant and important task at the design stage of new enterprises, or justification of the optimal parameters of the loading and hauling equipment in conditions when the existing quarries are going deeper or expanding and the productivity of mining and processing plants is increasing, as well as for comparing various technological options for the development of deposits. One way to solve this issue may be computer simulation of the functioning of both the individual elements (excavators, dump trucks, excavatorautomobile complexes, etc.) and the quarry transport system as a whole. The Institute of Mining of the Ural Branch of the Russian Academy of Sciences has developed the In-Pit Transport System software suite, aimed, among other things, at solving these problems.

Keywords: excavator-automobile complex, excavator, dump truck, excavator capacity, availability rate

Acknowledgments: The paper was prepared within the framework of State Contract No.075-00412-22 PR. Topic 1 (2022-2024). Methodological Basis for a Strategy of Integrated Development of Solid Mineral Reserves along with the Evolution of Mining Systems (Topic Code: FUWE-2022-0005, PTNI reg. No.1021062010531-8-1.5.1, reg. No.123012300005-3)

For citation: Zhuravlev A.G., Glebov I.A., Cherepanov V.A. Searching for reserves to increase productivity of excavator-automobile complexes using computer simulation. Russian Mining Industry. 2023;(6):148–154. (In Russ.) https://doi.org/10.30686/1609-9192-2023-6-148-154

Article info

Received: 14.09.2023

Revised: 24.10.2023

Accepted: 28.10.2023

Information about the authors

Artem G. Zhuravlev – Cand. Sci. (Eng.), Laboratory Chief, Institute of Mining of Ural branch of the Russian Academy of Sciences, Ekaterinburg, Russian Federation; https://orcid.org/0000-0001-7643-3994, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Igor A. Glebov – Scientific Researcher, Institute of Mining of Ural branch of the Russian Academy of Sciences, Ekaterinburg, Russian Federation; https://orcid.org/0000-0003-4436-3594, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Vladimir A. Cherepanov – Scientific Researcher, Institute of Mining of Ural branch of the Russian Academy of Sciences, Ekaterinburg, Russian Federation; https://orcid.org/0000-0002-3946-0130, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

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