CASPIAN JOURNAL

MANAGEMENT AND HIGH TECHNOLOGIES

COMPARISON OF THE LEVEL OF DEVELOPMENT OF THE LOGISTICS INFRASTRUCTURE OF THE REGIONS OF THE SIBERIAN AND FAR EASTERN FEDERAL DISTRICTS

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Popov Pavel V. COMPARISON OF THE LEVEL OF DEVELOPMENT OF THE LOGISTICS INFRASTRUCTURE OF THE REGIONS OF THE SIBERIAN AND FAR EASTERN FEDERAL DISTRICTS // Caspian journal : management and high technologies. — 2021. — №2. — pp. 16-23.

Popov Pavel V. - Volgograd State University (Branch in Volzhsky), donpascha@yandex.ru

In the article a model for the formation of the optimal region transport infrastructure is proposed. The model is based on the task of finding the optimal location of vehicle fleets and terminals on the basis of the formed network of distribution and sorting warehouses and the demand uncertainty on the part of goods consumers served by this warehouse infrastructure. The proposed model allows not only to determine the optimal location of transport infrastructure elements in the territory of the subject of the Russian Federation, but also to determine their capacity. The optimization model is based on minimizing the total costs associated with maintaining fleets, promoting goods throughout the network, driving empty motor vehicles, and handling goods. In order to consider, the probabilistic consumer demand, indirect methods of stochastic programming are used that implemented in two steps. At the first step, constraints of the stochastic problem are formed based on certain requirements for fulfilling random restrictions. At the second step, passing to solving the deterministic equivalents of original stochastic problem. We consider a model for satisfying demand on average and with a given probability. To build a model considering the satisfaction of demand on average, M-setting (mathematical expectation) of constraints is used, satisfaction of demand with a given probability is P-setting (with probability constraints). The application of the proposed settings in the stochastic task of optimizing the transport infrastructure of the region will contribute to a more economical solution in the conditions of a given level of customer service.

Key words: management system, logistics infrastructure, logistics efficiency index, factor analysis, object diagram, Federal District