Research on task scheduling algorithm of shuttle based storage and retrieval system based on energy consumption

Shuttle based storage and retrieval system (SBS/RS) has been applied in many automated warehouses because of its high space utilization, flexibility and response speed. The efficiency of task scheduling has a profound impact on the order picking efficiency, customer satisfaction and warehouse operation cost. In this study, based on the indepth analysis of the system operation flow, the service time of all kinds of equipment is calculated, and the equipment energy consumption model is constructed. A task green scheduling model is established to minimize the total energy consumption cost of outbound tasks. An improved particle swarm optimization is used to solve the model and compared with adaptive genetic algorithm and other algorithms to verify model accuracy by several numerical experiments. Low energy consumption can reduce the operating cost and bring more social benefits. The energy consumption costbased task scheduling model proposed in this research provides a new solution to the task scheduling problem.