Abstract

Along with the rapid growth of world trade, new requirement for throughput efficiency of modern container port are put forward. The existing optimization method to research the transport of the container terminal is single and complex. So in this article, the quantitative integrated optimization of the quay cranes and the trucks is made and the research scale is enlarge, in order to improve the efficiency of the research results. A model is built based on queuing network theory, and the mathematical algorithm is used to solve the model. Some experiments are used to demonstrate the feasibility and effectiveness of this study. The result shows that developed a genetic algorithm get the most optimal ratio of resource, and through a series of numerical examples . Are given The method to match the quay cranes and the trucks at container port logistics system, obtained by the techniques and algorithms in this study, can improvs the comprehensive efficiency of container ports.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call