Logistics model for selecting road sections of a mining enterprise for equipping them with automated traffic control tools

Abstract

The proposed model allows us to determine the sections and objects on the roads of mining enterprises that operate in the most intensive mode, in order to equip them with automated traffic control tools. The model is based on the logistic method of ABC and XYZ analysis, which allows determining such objects and areas with sufficient accuracy. In addition, the scientific novelty of this model is the choice of technical means not by two parameters, as in the classical logistics model, but by three. In addition, this model offers to determine the optimal number of technical means of traffic control, taking into account their cost and the required reliability. When optimizing the number of technical means of traffic control on the roads of mining enterprises, a linear programming model was used that minimizes the target function of total costs, taking into account the required reliability of technical means, while limiting their number used in performing traffic control tasks. The original distribution of technical means for the tasks of traffic control on the roads of mining enterprises is proposed.