A simulation model to study truck-allocation options
DOI:
https://doi.org/10.17159/Abstract
This paper presents a discrete-event simulator, TSJSim (Truck-Shovel JaamSim Simulator), for evaluating the stochastic and dynamic operational variables in a truck-shovel system. TSJSim offers four truck-allocation strategies, i.e., Fixed Truck Assignment (FTA), Minimising Shovel Production Requirement (MSPR), Minimising Truck Waiting Time (MTWT) and Minimising Truck Semi-cycle Time (MTSCT) including the Genetic Algorithm (GA) optimisation and the Frozen Dispatching Algorithm (FDA) optimisation rules. Multiple decision points along the haul routes for all the trucks close to the decision points were included in the truck-allocation model. The simulation results indicate that the trends associated with production tonnes and queuing time utilising the four truck-allocation strategies (MSPR, MTWT, FDA and GA) all demonstrated similar patterns as the fleet size varied. As the system fleet size increased, the system production tonnes under these truck-allocation strategies firstly increased significantly and then remained relatively constant; the queuing time relating to these truck-allocation strategies showed a positive relationship with the system fleet size. The bunching time decreased when the truck-allocation strategies were applied in the model. In the simulated truck-shovel network system with multiple traffic intersections, by assigning the trucks at the intersections, both productivity and fleet utilisation increased.
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Copyright (c) 2024 Weiguo Zeng, Ernest Baafi, Haiying Fan
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