Handling equipment reliability effect on grain terminal risks

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.