Research on the slotting optimization of automated stereoscopic warehouse based on discrete particle swarm optimization

This paper analyzed the location assignment strategy of automated stereoscopic warehouse, put forward the idea of the slotting optimization and studied the optimization method, established the slotting optimization model as the optimization strategy for the lowest energy principle and the shortest time principle, proposed the discrete particle swarm algorithm to solve the model. It is proved by simulation that access to goods in accordance with the slotting optimization model, not only reducing energy consumption and warehouse operation costs, but also improving the efficiency of goods storage.