Identification of technical readiness of transport and technological vehicles of a large transportation company

This paper focuses on a large transportation company with a fleet of hundreds of units of trucks and technological vehicles which service a number of distantly remote worksites (excavation works (quarries), construction, road works). The paper suggests an approach to determine the technical readiness of the large transportation company fleet, based on the collection and processing of statistical information about the vehicles' operational failures, and the proposed simulation model for determining the technical readiness of the vehicles. An algorithm for identifying the technical readiness of auto transport and technological vehicles has been developed based on the statistical approach. A numerical experiment was carried out to determine the approximating function for determining the vehicles' repair time. During the simulation to identify the technical readiness of auto transport and technological vehicles, data was obtained that could reasonably determine the start time for the repair of each of the vehicles, which allows beginning preparatory work for repairs in advance, thereby reducing the downtime of vehicles during the repair. As a result, executive decision making becomes possible with regards to the preparation and adjustment of transport supply plans for the construction sites, leading to increased efficiency of the large transportation company.

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