The Model Of The Storage Space Allocation In Outbound Container In Container Terminal Yard

With the increasing container transport volume year by year and the gradually formed global container liner shipping networks, more and more containers will be gathered at the hub port for loading and unloading in the future, which causes the existing hub port space resources are insufficient to meet the growing demand for container throughput. At this stage, a few ports have scalable yard space resources, such as Busan Port and Shenzhen Port, but the most port have not it. In order to resolve the contradiction between the increasing container throughput and the lack of space resources, it is necessary to improve the management level of port terminals. The container terminal yard space gets the maximum rate by optimizing the container stacking position. Export container storage position affects the ship time in port, the efficiency of load and unloading ships, yard work equipment efficiency and operating costs. Thus, in the case of limited space resources, it is the most important problem for port to research and optimize the export container storage allocation at this stage.For the optimal problem of export container storage space allocation, firstly, this paper analyzes the container terminal yard continuous and dynamic attributes, and uses a rolling decision strategy to compile the optimum export container stockpiling location plan. Secondly, it presents to the processes of the different size container in the different stacking modes, export container bit allocation factors and the mainly solving objectives of the spatial distribution. This paper presents a multi-objective model based minimizing the uneven of each bay in the different periods and minimizing the distance between container storage position and berth, describing the bays’imbalance by using the variance. Thirdly, in the simulation experiment, it design improved inertia weight strategy PSO, implementing on the model solution by using Matlab programming language. Fourthly, simulation results validate the model obtained export container storage location is more optimal than the random stacked mode. On the one hand, the driving distance of inner-trucks shorten by about20%, on the other hand, the imbalance of the operating block reduce by21.2%.