Container Terminal Berth Continuous Planning And Ship-to-shore Dynamic Coordinated Scheduling Decision Model

Aiming at the complexity of the "one after another" seesaw effect in the distribution of quay cranes caused by the limitation of the number of quay cranes,and the complexity of the joint impact on the operation time of different ships in port,a coordination decisionmaking problem between the continuous berth planning of container terminals and the dynamic scheduling of quay cranes is proposed.Using the related theory of system engineering optimization and genetic algorithm to solve it.Taking the selection of berthing positions of arriving ships,the allocation of the number of quayside cranes in port,and the allocation and allocation time of quayside cranes as decision variables,and under the premise that all ships are not out of shift,the minimum total time of ships in port and the berth berth in the planning period are constructed.A two-stage mixed integer dynamic coordination decision-making model with the goal of maximizing spatio-temporal residue.A two-layer iterative genetic optimization algorithm was designed by using the Python programming language.The upper layer is used to search for the berth position with the shortest distance between the arriving ship and the export container stacking area,and the lower layer is based on the upper layer to determine the number of quay cranes assigned to the ships in port at the berth position.Finally,the numerical experiments show that compared with the traditional quay crane binding scheduling,the continuous berth planning and quay crane dynamic scheduling coordination decision-making model has been significantly improved in terms of ship arrival waiting time,quay crane utilization efficiency and berth utilization efficiency.It can be seen that the dynamic scheduling coordination model can effectively improve the utilization efficiency of berths and quay cranes and customer satisfaction with services.The scheduling model proposed in this paper,the genetic optimization algorithm adopted is feasible,and the designed scheduling optimization model is in line with the actual production.The proposed scheduling method and research results have positive significance for the actual production and operation of the container terminal.