Abstract

The article considers the peculiarities of stay time of the rolling stock that arrives from the external network at the metallurgical plant. Its advance from the «input» station to the «output» is broken down element by element to study and analyze the «weak points» that result in the increase of the stay time of the cars at the enterprise above the established standard. The operations at all multifunctional railway stations of the industrial enterprise, where freight cars are located, have been considered and analyzed in detail. All the actions with the wagons are represented as a mathematical model, the objective function of which consists of the sum of operations that were performed with the freight wagons at each station of their advance, as well as the expenses for these operations. According to the methodology of functional-cost analysis, certain technical decisions must be made on the basis of total production and transport costs for one cycle of cargo processing and their total value for the entire volume. In doing so all production resources involved in cargo processing, the entire volume of transport work, as well as the technological time and the idle time of the car have been taken into account. The performed researches are based on the method of mathematical statistics for the analysis of the main operational indicators of the transport of the metallurgical plant, the method of linear regression in the form of a bivariate normal distribution law. The proposed model makes it possible to calculate the expenses for the car, if its stay time on the tracks of the production plant is taken into account. The function has branching elements for the correct calculation of the expenses for various circumstances that arise in the work of the enterprise. The reasons that impact on the idle time of cars above the standard and as a consequence of this phenomenon, the increase in the cost of using freight cars. The developed model of step-by-step advancement of wagons at each station of the metallurgical plant helps in identifying «weak points» that influence the staying of the freight car above the standard on the tracks of the stations of the metallurgical enterprise

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