Study on the Production Optimization Simulation Platform for the Container Terminal Yard's Operation System

Based on the actual work, this paper takes into consideration, the container terminal yard operation system to draft the production operation plan as the key clue, a production schedule and optimization simulation platform have been put forward. Firstly, the decision support system's prototype system based on Microsoft Sql Server 2005-based is given out. Secondly, to identify resources in the total amount of production plans and other prerequisites, a set of flexsim simulation models are built. Finally, from the development of production optimization for real-time information required for the program point of view, the simulation platform is built, which is used to integrate all the above. Along with the development of science and technology and economic globalization, the container terminal has developed rapidly. The functions as the hub of the international container transport system and the important node in logistics supply chain are increasing. It is one of the hotspots that research on optimizing control method of the container terminal logistic system. J.G.Kang and Y.D.Kim (2006) combined the branch and bound algorithm with the Tabu search to gain a better stowage plan in a reasonable computing time. Yan zheng and Tao dexin (2006) analyzed the scheduling problem of container trucks in the loading terminal basing dynamic optimization. Jin zhihong (2005) established the optimization model of containers consolidation in multimodal transport. Ji mingjun (2007) established the optimization scheduling model of uniting containers and cranes. However, because the container terminal logistic system is a random and dynamic complex system, when determininig decisions of the entire logistic system, the calculated quantities of the given decision model are fairly large, or the assumptions of the decision model are too many, the decision schema obtained from the model was not exactly in accordance with the practice, and very difficult to optimize the production of the container terminal logistic operation system by regular method. Hence, this article is divided into the following several aspects.