ABSTRACT
With the continuous development of the e-commerce industry, the surge in commodity logistics orders raises higher requirements for warehouse management. Intelligent unmanned warehouse gradually replaces traditional warehouses. The automatic guide vehicle (AGV) has become one of the important equipment for the operation of the unmanned warehouse because of its flexible cargo handling capacity, which can greatly meet the needs of cargo handling and improve the automation of unmanned warehouses. This paper studies the optimal scheduling problem of a complex unmanned warehouse carrying robot, combs the whole process of AGV optimal scheduling, considers the dispatching entities such as commodity pallets and AGV, studies the optimal scheduling problem of AGV from two perspectives of “mechanism” and “method”, designs a multi-agent cooperative AGV scheduling mechanism, and establishes a multi-constrained, multi-objective, and integrated dispatching mechanism based on this. A “commodity pallet-AGV” collaborative scheduling model with multistage decision-making is presented, and an improved heuristic algorithm is designed to solve the model.
