| Summary |
The increasing global trade has been promoting the demand of ocean transportation. As the main force in ocean transportation, container transportation has become an important bridge between countries. The traditional container terminal can't handle such a large amount of cargo. Therefore, the birth of intelligent container terminal with high automation level seems to meet this growing demand, and can greatly improve the operation efficiency of the port. How to improve the operation efficiency of container terminal is still one of the most important management themes of port operation. How to use these facilities efficiently has become a new research direction for scholars.
This thesis takes AGV as the research object, simulates it in the environment of intelligent container terminal, and develops a mixed transport model under the condition of the cooperation of shore crane and yard crane, aiming to shorten the transport time of container and improve the transport efficiency of container. The hybrid loading mode can load two 20 foot containers or one 40 foot container at the same time, making full use of the capacity of AGV and improving the efficiency of AGV.
Then, by selecting a smart container terminal in mainland China as an example, a 16 node network was designed, and 218.548 time needed to process 9 containers (8 20 ft, 1 40 ft) in turn was calculated. In the parameter sensitivity analysis, the average increase of total operation time was less than 15% while maintaining the maximum capacity increase of AGV by 50%, and gradually slowed down, indicating that The new model has high stability. Finally, according to the information learned from the actual smart container terminal, combined with the new model established in this paper, the research results of this paper are summarized and evaluated, and the suggestions for the future research direction are pointed out. |
