Study On Inland Port Container Flow's Optimization Based On Business Intelligent Agency

ABSTRACT:With the rapid development of port business in China, general loading and unloading capacity of inland port, cargo throughput and container throughput are also growing steadily. But compared with the developed countries'port business, there is much more gap. Because the traditional port operation process more and more can't meet the needs of the business, it need a more optimized business operating processes and a more advanced rapid information system to assist the development of inland port in China.It has been indicated that the development of inner ports plays an important role in national freight transportation. Therefore, it is necessary to find a compatible with industry development mode of operation, to strengthen the construction of inland port's informatization, automation and intelligent. The academics have already realized the importance of informatization of container business process. However, most of them are focused on berth allocation, and there are few odeling and simulation researches on container process optimization. This paper will make up the blank of this field.Firstly, this paper combined the qualitative and quantitative analysis in the specific business process analysis, to make the results more comprehensive and reliable. In recent years, more modeling and simulation technologies are applied in container terminal logistics system design and operational decisions. Therefore, based on business intelligence theory and model, this paper tries to build up a solution of container business process optimization in a systematic way. And then, applying distributed intelligent agent theory, this paper designes container scheduling command system. Regard manage innovation as the guide and based the business process optimization, this paper puts forward the corresponding optimization solution. Based on this, the paper's research content and results are mainly,(1) Qualitative analysis of the inland river ports'container business process. Take Huangpu Terminal as an example, this paper studied and analyzed the current containers' key business process. Mainly analyze the inland river container ports' layout, process selection and planning, inland river container port mechanical configuration, the basic process and key business process decomposition and coordination on the qualitative way. Then it studied the processes which have loading and discharging operation process, the container delivery process and suitcase, Ex-warehouse, unloading process and take delivery of goods by containers in detail.(2) Quantitative analysis of the container business process-system modeling. On the basic of detailed qualitative analysis of Huangpu Terminal business process, the paper made a division of the business process of container and the simulation scheme of container ports in the different process by Arena simulation software. By dispatching model simulation analysis and evaluation of system efficiency, such as berth utilization, throughput and utilization rate of land bridge, ship service time, etc., we found the bottleneck process that affected system efficiency-yard plan, and formulated it as the optimization goal.(3) By studying the yard plan's characteristics of optimization analysis of the architecture, combining with the scheduling method based on business intelligence technology, the paper put forward the solution to the container yard plan optimization design. Application of typical simulation model to combine yard plan key processes, and through the use of relevant data and analysis, we put forward a feasible yard plan optimization analysis model based on business intelligence technology. Finally, we analyse on the application of the model. The results show that the model can effectively improve system efficiency and the utilization rate of equipment.(4) Based on the distributed intelligent agent theory, we designed and built the container scheduling command system in this paper, to improve the level of port information construction. First, design the inland port information system framework. For Key processes of inland port-container command scheduling, design a container scheduling command system based on intelligent agent. The system is composed of data layer, data warehouse, data analysis, query service layer and user layer, such as the four key levels. And we focused on analysis of some important modules. Finally, through comparison between and analysis on the benefit of before and after its application in Whampoa Terminal, we found that the system has obvious practical benefits.