Summary: | It must be borne in mind that refrigerated warehouses have only a limited number of mechanization and maintenance personnel and are not always able to satisfy all incoming cargo flows. In connection with the growth in the turnover of fruit and vegetable products, refrigerated warehouses are being built and reconstructed with the junction of the railway transport, but the issues of the operation of the loading and unloading station are still open. Every day situations are created where there is a massive demand for servicing traffic flows. At the same time, a large unevenness in the volume of arrival of refrigerated wagons is characteristic. In connection with the construction and reconstruction of refrigeration warehouses, measures are being taken to strengthen the technical equipment of loading and unloading fronts and, above all, to increase the conditions for the transportation of fruit and vegetable products. Determination of optimal parameters of the loading and unloading front by means of mathematical methods is of great importance for the further improvement and improvement of the operational work of refrigerated warehouses and not only. The article discusses the issue of determining the optimum number of refrigerated wagon deliveries to the cold store, the time of cargo operations and, ultimately, the search for the optimal processing capacity of loading and unloading fronts. Relations with this purpose of the research consists in the selection of optimal values of parameters depending on the type of loading-unloading front (external approach or internal entry of the railway track into the cold store). Methods of research. When solving the set goal, an economic-mathematical model was used, which is reduced to obtaining a detailed expression of operating costs. Results: The economic-mathematical model allowing to determine optimal values of parameters of the loading-unloading front is obtained. Practical significance of the research in the implementation of its results lies in the possibility of reducing operating costs, depending on the type of loading and unloading front.
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