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Original Paper

UDC 656.13:622.684© A.V. Kudrevatykh, M.V.Dadonov, A.S.Ascheulov, N.V.Kudrevatykh, 2024

ISSN 0041-5790 (Print) • ISSN 2412-8333 (Online) • Ugol’ – Russian Coal Journal, 2024, № 1, pp. 64-69

DOI: http://dx.doi.org/10.18796/0041-5790-2024-1-64-69




Kudrevatykh A.V.1, Dadonov M.V.1, Ascheulov A.S.1, Kudrevatykh N.V.1

1T.F. Gorbachev Kuzbass State Technical University (KuzSTU), Kemerovo, 650000, Russian Federation

Authors Information

Kudrevatykh A.V., PhD (Engineering), Associate Professor, Head of the Department “Operation of cars”, e-mail: kav.ea@kuzstu.ru

Dadonov M.V., PhD (Engineering), Associate Professor of the Department “Operation of Cars”, e-mail: dadonovmv@kuzstu.ru

Ascheulov A.S., PhD (Engineering), Associate Professor of the Department “Operation of Cars”, e-mail: ascheulovas@kuzstu.ru

Kudrevatykh N.V.,PhD (Economic), Associate Professor of the Department of Finance and Credit, e-mail: knv.fk@kuzstu.ru


The role of technological vehicles in the process of open-pit coal mining is difficult to overestimate. The share of transportation costs in the total cost of production is more than 50% and with the complication of mining conditions can increase significantly. In such conditions, the technical and economic indicators of the entire mining enterprise depend on the efficiency of the operation of quarry dump trucks. The use of lean manufacturing principles by enterprises is aimed at constant analysis of the efficiency of production processes and their improvement, since this concept itself is reduced to minimizing all losses. For quarry dump trucks, as expensive technological equipment, the most important indicator of the efficiency of use is the share of working time. Any loss of working time leads to a significant reduction in it. This article provides a consistent analysis of the structure of machine time losses as a way to assess the efficiency of operation of dump trucks at coal mines.

Key words

Lean manufacturing, Performance analysis, Dump truck, Downtime, Technical readiness coefficient, Performance analysis, Technical utilization coefficient, Operating time, Process organization.


1. Beau Keyte & Drew Locher. The Complete Lean Enterprise. Value Stream Mapping for Administrative and Office Processes. Productivity Press, New York, 2004, 136 p.

2. Chinazirova S.K., Kadakoev R.N. & Dzetl R.Ch. Approaches to implementing lean manufacturing in a medical facility. Colloquium-Journal, 2020, (34-2), pp. 63-65.

3. Titov S., Nikulchev E., Brikoshina I. & Suetin A.Client communications and quality satisfaction in project-based company. Quality - Access to Success, 2020, Vol. 21, (174), pp. 68-71.

4. Shichkov A., Gluhov V. Model and toolkit for the formation of the production enterprise digital platform. IOP Conference Series: Materials Science and Engineering, Saint-Petersburg, 21–22 November 2018. Vol. 497. Saint-Petersburg, Institute of Physics Publishing, 2019, pp. 012093. DOI 10.1088/1757-899X/497/1/012093.

5. Efimychev Yu.I., Plekhova Yu.O. & Shevarov S.V. Implementation of the principles of lean production at an industrial enterprise. Organizer of production, 2007, № 4, pp. 18-21. (In Russ.).

6. Ivanov K.A. Transform conventional production into “lean”. “Lean production”: from workshops of automotive companies to offices. Russian Entrepreneurship, 2009, (12-1), pp. 68-75. (In Russ.).

7. Levinson U. & Rerik R. Lean manufacturing: a synergetic approach to reducing losses. Moscow, RIA “Standards and Quality” Publ., 2007. (In Russ.).

8. Orlov V.N. & Gnilomedova M.P. Lean production as a means of increasing production efficiency and product quality. Bulletin of Kurgan State University. Series: Technical Sciences, 2010, (17), pp. 171-173. (In Russ.).

9. Unanyan I.R. Factors of efficiency of lean manufacturing implementation. Economics and efficiency of production organization, 2010, (12), pp. 69-72. (In Russ.).

10. Dadonov M.V., Kudrevatykh A.V. & Ascheulov A.S. Formation of “lean thinking” among students of higher and secondary vocational education. Professional education in Russia and abroad, 2020, (4), pp. 68-71. (In Russ.).

11. Dadonov M.V., Kudrevatykh A.V. & Ascheulov A.V. Formation of “lean thinking” among students of the automotive profile. Issues of modern science: problems, trends and prospects. Materials of the IV International Scientific and Practical Conference, Novokuznetsk, 03-04 December 2020. Novokuznetsk, T.F. Gorbachev Kuzbass State Technical University, 2020, pp. 96-98. (In Russ.).

12. G?le? A., Maksudunov A. A fuzzy methodology for local entrepreneurial culture evaluation: evidence from post-soviet Kyrgyzstan. South African Journal of Industrial Engineering, 2019, Vol. 30, (1), pp. 110-123. DOI 10.7166/30-1-1883.

13. Jeffrey's Liker. Dao Toyota: 14 principles of management of the world's leading company. Moscow, Alpina Business Books Publ., 2005, 402 p. (In Russ.).

For citation

Kudrevatykh A.V., Dadonov M.V., Ascheulov A.S. & Kudrevatykh N.V.The issue of applying the principles of lean manufacturing in the operation of dump trucks at coal mines. Ugol’, 2024, (1), pp. 64-69. (In Russ.). DOI: 10.18796/0041-5790-2024-1-64-69.

Paper info

Received August 14, 2023

Reviewed November 13, 2023

Accepted December 7, 2023


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