Optimization Of Outbound Containers Collection And Shipment In Container Terminal With Considering Energy Consumption Analysis

The rapid growth of international trade and the large-sized trend of container ships have put forward higher requirements for container terminal efficiency and service capacity.On the one hand,the workload and operation intensity of the terminals which docked by large container ships are increased.On the other hand,a large number of trucks are concentrated in the gates of the container terminals and the yards in the rush hour waiting for operations,consuming a lot of energy,emitting a large amount of CO2 and polluting gases,and urgently need to cope and solve them.Therefore,this paper focuses on the optimization of handling system for outbound containers in container terminal with considering energy consumption.Firstly,to cope with the overcrowding problem in container terminal gate and yard caused by irregular arrival of trucks,a vessel dependent truck appointment system is put forward.An optimization model for appointment of delivery trucks is established with the goal of minimizing the total waste cost of truck fleet and yard cranes.A two-level queuing network is used to describe the queuing process of trucks in terminal gate and yard.Considering the interests of truck fleet and terminal,the model determined appointment time window and appointment quota for each ship.A hybrid genetic algorithm based on simulated annealing is designed to search the optimal time windows scheme.The instance of Dalian Container Terminal verified the effectiveness of the proposed model and algorithm.The results show that optimization model for delivery trucks appointment can dramatically reduce waiting time of trucks in terminal gate and yard,and improve the utilization rate of yard cranes.Secondly,with considering the requirements of low energy consumption and high efficiency when trucks transport containers to multiple container terminals,and truck appointment system which is taken by container terminals to cope with the problem of irregular arrival of trucks,a scheduling model was established for trucks delivering containers from an outside yard to multiple container terminals,with the objective of minimizing the quantity of the dispatched outside yard's trucks and the total energy consumption of the scheduling plan.A modified ant colony algorithm is designed to solve the model,and the truck scheduling plan for delivering containers from outside container yard to multiple container terminals in different time periods could be determined.Experiments show that the proposed model and designed algorithm are effective.The study demonstrates that the trucks scheduling scheme can reduce the amount of trucks that the yard must hold and truck drivers' working time.Therefore,the trucks scheduling scheme can balance and meet lower-energy consumption and higher-truck efficiency requirements.Thirdly,in order to solve the integrated optimization of storage space allocation and multiple yard cranes scheduling in a container terminal yard,the regional workload balance planning method is adopted to make yard working plan.An integrated optimization model of storage space allocation and multiple yard cranes scheduling is established to reduce the waiting time of truck and energy consumption of yard cranes with considering the safety distance and workload balance between yard cranes.The simulated annealing operation is introduced to improve the global search ability of genetic algorithm.A simulated annealing genetic algorithm is designed to solve the model.The effectiveness of the adopted algorithm is verified by numerical experiments and the results show that the simulated annealing genetic algorithm designed in this paper is better than the genetic algorithm.The optimized model with considering the energy consumption is superior,and the energy consumption of the yard cranes can be reduced under the condition that the waiting time of the trucks is not much different.The bay allocation scheme and the yard cranes scheduling scheme obtained by the regional workload balance planning method are superior to the traditional one.The regional workload balance planning method can effectively reduce the waiting time of the trucks and reduce the energy consumption of the yard cranes.Finally,the joint scheduling of dual-trolley quay crane and AGVs for container terminals is studied,with considering the constraints of the AGV's endurance time,dual-trolley quay crane transfers platform capacity and yard buffer support capacity.Two-stage optimization model is established,which takes the minimum energy consumption of dual-trolley quay crane as the optimization target of the first stage,and the minimum energy consumption of AGV during the transportation as the second stage.Designing the enumeration method to solve the first-stage model.Improving the genetic algorithm to solve the second-stage optimization model.Taking the Yangshan Phase ? automated container terminal as an example for experimental analysis,the experiments are carried out on the different laytimes and AGV configuration principles.The validity of the model and algorithm is verified.The results show that the joint dispatching of dual-trolley quay crane and AGV with the goal of minimizing energy consumption can significantly reduce the number of AGV configurations without delay of the quay crane.The research results not only enrich and expand the relevant theories of container terminal operation and management research,but also provide reference for the relevant decision-making of container terminal companies and container transportation and warehousing enterprises.