Optimization of unmanned truck fleet scheduling in open-pit mines considering sudden equipment failures

To reduce the impact of uncertainty and randomness of sudden equipment failures in open-pit mining equipment, taking the production equipment at the loading and unloading points in the transportation system of open-pit coal mines as the research object, an unmanned mining truck cluster scheduling model for open-pit mines considering sudden equipment failures is proposed.Firstly, an initial scheduling model is established to minimize truck transportation costs, total idle time of trucks, and maximize ore transportation volume.Secondly, considering sudden equipment failures, a rescheduling model is constructed to minimize the deviation from the objective function of the initial scheduling plan.Subsequently, an adaptive multi-objective evolutionary algorithm assisted by a surrogate model is proposed, using Kriging surrogate models to replace the truck dispatching simulation process.Finally, the method is applied to simulation with data from a domestic open-pit mine.The results show that when the transportation system is disturbed by sudden equipment failures, this method can provide a scheduling optimization adjustment plan with shorter total idle time of trucks and more ore transportation volume.