Research On Allocating And Scheduling Of Berth System In Container Terminal

With a wide range of development of economic globalization and trade, many countries have not restricted their business activities in a country or a certain region, but more in the higher level-global distribution and implementation. Cross-border trade growth has driven the rapid development of international container shipping business. Container port which plays a pivotal role of nodes in the global container shipping network becomes more important in a new round of international shipping center competition. Since the last century 80's. in Chinas, the container trade has maintained a steady and rapid growth. Especially in the 21st century, with the rapid development of China's economic strength, the container throughput also achieved breakthroughs. Since 2005, China has surpassed the United States, ranking first in the world's container throughput. Hong Kong. Shanghai and Shenzhen container throughput respectively ranks first, third, fourth in the world. However, the development of China's container port compared to developed countries, gaps still remain. Many of the container ports are still in operation at full capacity and even the state of overload. Service time for container ship is too long which lead to serious traffic jams in container port. Therefore, how to maximize the optimization of existing resources to meet the growing port service demand becomes a hot research point.Based on these facts above, in a realistic point of view, this paper selects the container berths subsystem as a research object, considering the port construction and operation economic factors, adopting queuing theory to analyze how to rationally decide the container berth scale and use VB software to solve the model. Based on a rational allocation of port resources, in order to minimize the turnaround time of container ship in port, this paper further establishes a crane-DBAP coordinate scheduling model. Besides, in the paper, we employ an intelligent optimization technology, to select a best allocation of berths and crane. From both macro and micro level, this paper made a study oft berths subsystem and the results of paper had a practical significance.