Krygul R. Identifying the configuration of the vehicle fleet in transport infrastructure projects of beet-receiving stations

The thesis accomplishes the applied research task of developing methods and models for identifying the configuration of the vehicle fleet in transport infrastructure projects of beet-receiving stations. It describes the system and technology fundamentals of the process of identifying the configuration of the vehicle fleet; defines the primary tasks, methods and models for accomplishing them within the conditions of a stochastic project environment; provides rationale for the algorithm used in identifying the configuration of the vehicle fleet in transport infrastructure projects, taking into account the probabilistic characteristics of the project environment. The thesis presents rationale for an optimum reach of a beet-receiving station. A computer application has been developed for statistical imitation modeling of the process of receiving and bringing in sugar beets. Rationale for the statistical models of the components of the project environment is provided. Computer-aided experiments have been completed and imitation modeling results analyzed. Physical indicators of configuration elements have been reconciled with the uncontrolled characteristics of the project environment. Based on such algorithms, it has been determined that it is expedient to split the sugar beet procurement season into three periods, with a different vehicle fleet identified for each period. It has been determined that the specific conditions of the Sokal beet-receiving station require a vehicle fleet configuration with a payload of 2.5 tons - 2 vehicles, 3.5 tons - 1 vehicle, 5.5 tons - 1 vehicle during the period of the 265th - 275th days of the year; 2.5 tons - 5 vehicles, 3.5 tons - 13 vehicles, 5.5 tons - 7 vehicles, 10.0 tons - 1 vehicle during the period of the 276th - 301st days of the year; and 3.5 tons - 1 vehicle, 5.5 tons - 1 vehicle during the period of the 302nd - 323rd days of the year