AGV Scheduling Of Automated Container Terminal In Cooperation With Quay Crane Operation

In an automated container terminal,there are problems that the ship is in the port for too long and the AGV is invalid and the waiting time is too long.Therefore,the ship’s time in the port and the efficiency of the AGV itself are the key to the optimization of the terminal operation.The main consideration is the AGV and the quay crane.synergy between them.If the AGV and the quay crane arrive at the same time,the ship’s time in port can be shortened through the optimal coordination between the quay crane and the AGV,but the coordination of every second is difficult to achieve in reality.In general,AGVs tend to lag or arrive early.If the AGV arrives behind the quay crane,it will prolong the ship’s time in port;if the AGV arrives earlier than the quay crane,the AGV needs to wait,which in turn affects the overall utilization efficiency of the AGV.At the same time,in reality,if the AGV continuously performs tasks with high power consumption,it is easier to reach the low power range,resulting in additional charging,which also affects the operating efficiency of the AGV;the quay crane operation will also be affected by different ship conditions and labor.Due to the influence of factors,the time of each hoisting operation is not fixed,and this uncertain factor will also affect the synergy between the quay crane and the AGV.Therefore,how to reasonably schedule the AGV in consideration of the AGV cycle charging in the automated container terminal,combined with the uncertainty of the operation time of the quay crane,so that the quay crane and the AGV can achieve better coordination,has become an automated container terminal.The key to operation optimization is also the research question of this paper.In the current research,few scholars have considered the impact of AGV cyclic charging and the uncertain operation time of quay cranes on AGV scheduling.On the basis of existing research,this paper analyzes the current situation and problems of automated container terminals and AGV operations,and then measures the cost of AGV travel,the penalty cost of AGV that measures the extent of the ship’s time extension in port,and the AGV’s arrival later than the quay crane.The comprehensive cost optimization of the three cost components of the efficient AGV waiting cost is the goal,and the AGV scheduling model for the coordinated operation of the automated container terminal quay crane and the AGV is established.In the model,considering the power consumption,charging time and charging timing of the AGV task,as well as the uncertainty of the quay crane operation time,an uncertain AGV scheduling model is constructed,and the genetic algorithm is used to solve the problem through distributed robust optimization..Finally,taking the actual data of the automatic terminal loading and unloading operation of the Q harbour as an example,the model is solved and the effect is analyzed,the influence of different AGV numbers on the scheduling target is analyzed,and the appropriate number of AGVs is determined;Determine the impact of parameters on scheduling situation and cost,and provide corresponding management suggestions for terminal operators.The research in this paper provides a new idea for the decision-making AGV scheduling problem of the automated terminal,and has very practical practical significance for improving the operation level of the automated terminal.In this paper,there are 20 figures,14 tables,and 65 references.