Optimization of Truck–Loader Matching Based on a Simulation Method for Underground Mines

The choice of transportation system has an important impact on the production efficiency and economic behavior underground mines. Trackless vehicle gradually become main method in mines because mining companies have realized that can be improved using advanced mechanization automation process. extracted ore is loaded onto trucks by loaders situ, then drive to passes for unloading Trucks load unload a cyclical manner between stopes passes. Numerous tunnels simultaneously achieve targets, there are interactions influences among trucks, such as blocking queuing, due limited space. To address this issue, route model was built, process divided into three parts, including loading, truck transportation, unloading. simulation applied optimize number under constraints stope capacity, optimal utilization rate capability. Monte Carlo utilized take uncertainties parameters account improve robustness results. verified case study gold mine located Shandong Province, China, with objective accomplishing truck–loader matching considering various area.