Scheduling Optimization of Underground Material Transport Vehicle in X Coal Mine Based on Whale Algorithm

In order to effectively deal with the problems such as high transportation cost and difficult timeliness in the current material transportation system of coal mining enterprises, a vehicle scheduling model is proposed. Different from the traditional method of finding the optimal path between a single starting point and a single destination and vehicle combination, the vehicle scheduling model between different starting points and different destination sets is constructed in this paper, and the optimization goal is to minimize the total distribution scheduling cost. At the same time, factors with the particularity of the coal mine system, such as market settlement transportation cost, vehicle fault maintenance, and centralized outage time for inspection, are taken into account in the model. A heterogeneous vehicle logistics scheduling model for the coal mine is established, and a whale swarm optimization algorithm is used to solve the model. It was found that the total transport cost of vehicles was reduced by 25.9%, the delivery time was reduced by 65.4%, and the number of vehicles delivered was reduced by 11.1%. The results show the practicability of the model and the effectiveness of the solution method, which can provide reference for the optimization and improvement of other coal mine material transportation systems.