2019 年 13 巻 p. 929-939
Coal is one of the major export commodities for Mongolia and its annual export volume reached 36.7 million tons in 2018. China is the largest consumer of coal in the world as well as the main export destination for Mongolian coal. (ERI, 2017) Thus a study on the border crossing practice and analyze the queuing time in the BCP (Border Crossing Point) for coal trucks between China and Mongolia becomes important. This study aims to describe the current situation of coal truck congestion at the border and measure the performance of transport logistics process from a mining site through a BCP (border crossing point) in south side of Mongolia. Based on the truck loading and custom service data, we calculate the characteristics of truck arrivals, waiting time to cross the border, capacity utilization of border crossing point. We have applied queuing theory to quantify the impact of variability in arrival and custom service as well as capacity utilization of the BCP. Based on practical data from field survey, we have developed waiting time cost model for the system. The models can be used for predicting performance, redesign the process, and implement changes in policy of transport logistics of coal export.