Purpose. To improve the distribution methods of freight flows on the railway network under conditions of capacity constraints. Methodology. Methods of railway operation theory and operations research were used. The problem of cargo flow distribution on the railway network was solved as a multi-product (interchangeable cargoes) transport linear programming problem with capacity constraints in the network form. The average cost of freight transportation is established by the methods of probability theory. Findings. In the course of the research the methods of cargo traffic calculation on the railway network are improved. The proposed approach to the formalisation of the task makes it possible to take into account the presence of different cargoes to be transported, capacity constraints of some railway network sections, as well as non-linear nature of dependence between the volume and cost of transportation. To meet the requirement of consignors equal access to public carrier services, the method for calculating the cost of transportation for an individual consignor is improved. Originality. Scientific novelty of the paper consists in improvement of methods of cargo traffic distribution on the railway network and tariffing of cargo transportation services in conditions of restricted supply capacity of separate sections. Practical value. The extractive industries have a steady flow of goods. The main logistic tasks in this case are to ensure transportation of the given volume of cargo and reduce the cost of transport services. Using the proposed mathematical methods of optimization allows you to get higher-quality solutions compared to the method of technical-economic comparison of options, which provides an overall cost reduction for cargo transportation. The improved method of tariffication of transportation can reasonably allocate the savings from reducing the cost of transportation among cargo consignors and thus reduce their logistics costs.

Purpose. Improving the efficiency of trucking (TR) in the conditions of a mining enterprise by means of developing recommendations aimed at enhancing reliability of the transport process. Methodology. To determine the factors influencing the reliability of TR the Functional Resonance Analysis Method (hereinafter FRAM) was used, which is based on the study on the functions of freight automobile transportation process with respect to six different aspects: time, control, output, resource, prerequisites, and entrance. Findings. The transport process of TR in the conditions of a mining enterprise is represented by five main functions: preparation of TR, supply of the truck for loading, loading of cargo, transportation and unloading of cargo at the destination point. For each function of the transport process TR we determined its variability as based on the accuracy and timeliness of the transport operation; identified factors that affect the reliability of the transport process, namely driver experience, administrative control, time of the transport operation, complexity of the transport operation, workplace ergonomics, workload and stress, the level of management support that may worsen the final result of goods delivery to the point of unloading. It is determined that preparation and transportation of cargo to the destination point is the least reliable function of TR transport process. This is due to the significant changeability and variability, a large number of production tasks and high variable standards of transport work. It is proposed to strengthen the control over the psychophysiological condition of the driver in order to improve the reliability of TR in the conditions of a mining enterprise and to reduce the probability of failures during the performance of transportation work. Originality. It consists in establishing the relationship between the functions and factors of the transport process of TR in the conditions of a mining enterprise, which allows assessment of the reliability level of the task in a timely manner. Practical value. It consists in a quantitative assessment of the impact of transportation process factors on the reliability of TR in the conditions of a mining enterprise.