APPLIED RESEARCH

Development of an automated dispatching complex for construction and road machines at distributed production sites

Authors

  • Victoria A. Arkhipova Gubkin Russian State University of Oil and Gas (National Research University), 119991, Moscow, Leninsky Prospekt, 65, bldg. 1

How to cite

GOST Arkhipova V. A. Development of an automated dispatching complex for construction and road machines at distributed production sites // STROITEL'NYE I DOROZHNYE MASHINY. 2026. Vol. 70. No. 8. P. 276-290. DOI: 10.25726/o7434-9994-2796-x
APA Arkhipova, V. A. (2026). Development of an automated dispatching complex for construction and road machines at distributed production sites. STROITEL'NYE I DOROZHNYE MASHINY, 70(8), 276-290. https://doi.org/10.25726/o7434-9994-2796-x

Abstract

The fleet of construction and road machines of Russian companies operates at an average capacity utilisation level of about 56% and with a high share of equipment that has exhausted its depreciation period, which creates a gap between the available fleet resource and the actual output. The regulatory framework of construction digitalisation is built around the information model of a capital construction facility and does not cover operational data on machine performance; requirements for on-board navigation and communication equipment apply to wheeled vehicles and do not affect self-propelled machines registered with the technical supervision authorities. The aim of the study is to develop the structure and to substantiate quantitatively the parameters of an automated dispatching complex serving a machine fleet at several spatially separated sites. Discrete-event simulation of the annual operation cycle with 10 000 Monte Carlo iterations, factor decomposition of the operating-time increment by the chain substitution method, and calculation of the discounted effect for three architectural options of the complex were applied. For a model fleet of 37 machines distributed across seven sites, the weighted average annual operating time rises from 929,8 to 1171,6 machine-hours, and the fleet utilisation coefficient from 0,465 to 0,586. Factor decomposition attributes 40,6% of the increment to the growth of technical readiness and 59,4% to within-shift utilisation. Reducing the average machine relocation approval time below 26 minutes yields no further increment: the constraint shifts to the transport leg of about 96 km. The full architecture with predictive diagnostics yields a net present value of 16,85 million roubles against 16,50 million roubles for the option without it, while requiring 69,5% higher capital investment. The predominance of the within-shift factor over the technical readiness factor means that the fleet output reserve is concentrated in the dispatching contour of planning and approval, whereas the diagnostic contour plays a subordinate role in relation to it and saturates noticeably faster.

Keywords

construction machinery dispatching distributed production sites automated complex satellite monitoring within-shift utilisation coefficient fleet technical readiness simulation modelling operational productivity

Funding

The authors did not declare any external funding for this research.

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