Abstract

The operation of non-public railway transport of mining enterprises is characterized by a large number of operational indicators: the number of locomotive and car fleets, infrastructure development, duration of movement and processing of cars, etc. The rhythmicity of functioning of railway complex is complicated significant non-uniformity of these parameters. Car flow structure which has become much more complicated in recent years, has a significant impact on transport and logistics processes. The reason for increase in the number of low-capacity car flows was increase in the number of companies whose carriages circulate along non-public routes. In turn, similar structure of car flow, which is also characterized by significant unevenness and irregularity, leads to a complication of managing industrial transportation technology. A well-established railway mining enterprise transport system model needs to be transformed into a multi-factor system with a large number of functional relations. One of the most effective tools for transforming transportation and production systems is the logistic approach. The idea of campaign is to integrate individual links of material production into a single system, ordered along material flows and able to adequately respond to environmental disturbances. The scale of mining enterprises, the complexity and high dynamics of transport and logistics processes, as well as the multivariate managing mining transportation systems scenarios, require development of new methods of such systems functioning analysis and prediction. The article proposes a new approach to the study of operation of non-public railway transport, based on system-dynamic simulation of logistics system of a mining enterprise.

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