Research on the collaborative scheduling model of "AGV-quay crane-yard crane" in port area based on multi objective optimization

This study addresses the issue of resource wastage caused by idle waiting during collaborative operations among Automated Guided Vehicles（AGV）, quay cranes, and yard cranes in port horizontal transportation scenarios. Based on the actual operational logic of AGV, quay cranes, and yard cranes in port horizontal transportation, a collaborative scheduling optimization model is constructed to minimize the total time required for unloading operations while determining the optimal number of AGV. By precisely defining the time nodes for each task executed by AGV, quay cranes, and yard cranes, the model maximizes operational efficiency. Simulation results validate the model's effectiveness, demonstrating a 9.7% reduction in total unloading time, an 80.1% decrease in resource wastage due to quay crane idling, and a 62.1% reduction in yard crane idle-related inefficiency, greatly improving operational efficiency.