Rational number of in-pit dump trucks in simulation modeling with partial optimization by secondary factors

Haulage costs reach more than a half of total cost of ore mining, and increase as an open pit mine grows deeper. This actualizes optimization of transportation within a geotechnical system of an open pit mine with regard to its development. Most of the processes involved in the formation of transport systems in open pit mines are impossible to optimize using conventional methods such as finding minimum and maximum, or values of key factors. So, a mixed-type approach is required. It is often necessary to optimize major factors with regard to some minor factors while decreasing the burden of extra calculation. This study solves the problem of partial optimization of a main factor of an open-pit transport system in terms of a minor factor in terms of a substantiation of a number of dump trucks in a cyclicaland-continuous technology. The problem is solved as a case-study of the transport system of Mikhailovsky GOK. The proposed approach to the partial optimization involves the following stages: the range of a rational number of dump trucks which transport rocks from working faces to the points of reloading to crushing and conveying systems is determined by the method of search during computer simulation using the criterion of the hourly and shift capacity; the rational number of dump trucks is adjusted with regard to the economic indicator of potential losses because of the underuse of the crushing and conveying systems. The case-study of the conditions addressed finds out that the rational number of dump trucks with the capacity of 240 t is 28–29 machines.

Zhuravlev A. G., Glebov I. A. Rational number of in-pit dump trucks in simulation modeling with partial optimization by secondary factors. MIAB. Mining Inf. Anal. Bull. 2025;(10):112-123. [In Russ]. DOI: 10.25018/0236_1493_2025_10_0_112.

The study was carried out under State Contract No. 075-00410-25-00, State Registration No. 125070908257-0. Topic 1 (2025–2027): Prospect Validation Methodology for Technological Development in Integrated Solid Mineral Mining in Russia, FUWE-2025-0001.

A.G. Zhuravlev¹, Cand. Sci. (Eng.), Head of Laboratory, e-mail: juravlev@igduran.ru, ORCID ID: 0000-0001-7643-3994,
I.A. Glebov¹, Researcher, e-mail: i.glebov@igduran.ru, ORCID ID: 0000-0003-4436-3594,
¹ Institute of Mining of Ural branch of the Russian Academy of Sciences, 620075, Ekaterinburg, Russia.

I.A. Glebov, e-mail: i.glebov@igduran.ru.

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