No abstract

This article presents the servicing vehicles process simulation modeling results at the grain terminal in order to assess the risks additionally arising from sudden failures of loading and unloading equipment. Two types of trucks incoming flow are considered: simple random and presupposing preliminary on-line registration. The Weibull distribution and the transition to the parameters of the general totality were used to estimate the equipment recovery time. The regression models of downtime were obtained and the magnitude of the increase in risks was determined depending on the cars’ input flow intensity.

The risks arising from the grain terminal equipment downtime have been assessed for different types of incoming freight traffic flow and arrangement of the terminal queue. Simulation of the freight vehicle servicing process has been applied in combination with statistical modeling of the individual terminal station operating time. The dependencies of equipment downtime on the incoming flow intensity have been obtained.

A system of measures allowing to improve the level of vehicle services at the grain terminal was developed. The composition of the considered system includes the following measures: “Grain Terminal” simulation model of service of vehicles, a program for implementation of the pre-registration of vehicles in the terminal, pre-parking, waiting for service and the algorithm of vehicular transport management using radio frequency identification (RFID) technology.