Authors: Lei Lin Yu, Zhi Qiang Lu, Li Feng Xi, Zhan Wan, Lin Li
Abstract: The increase of container shipment causes higher demand on the seaport container terminals, container logistics and management. How to rationally allocate the limited space resources and how to improve operational efficiency, is an important subject for container terminals. In this paper, the mathematical modeling and optimization on yard allocation planning based on the mixed storage is proposed with an objective to balance the workload among different blocks and to minimize the delay of container ships. Two corresponding heuristic algorithms are developed to solve this problem. The experimental results show that the proposed algorithms are the promising tool for allocating blocks’ workload.
540
Authors: Dao Fang Chang, Zu Hua Jiang, Gui Qing Zhou, Jun Liang He
Abstract: To solve the twin 40ft handing system for container terminal yard allocation, a rolling –horizon model of outbound container yard allocation planning is developed by the multi-objective planning method. Then a particle swarm algorithm is designed to obtain the optimum solution of the model. Finally, a numerical experiment shows that the proposed approach can solve the problem effectively.
1310
Authors: Jian She Huang, Zhen Zhen Ren
Abstract: The position of Container Terminal as a transit of a complete logistics system is very prominent. With the rapid development of modern port, the rapid increase in container traffic takes tremendous pressure to terminals. The impact of the restowing problem to the operational efficiency is increasingly prominent. The research on addressing model of the container is important to cut down the restowing rate and improve the operational efficiency. A study is conducted on this in this paper.
985
Authors: Y. Tian, B. Yang, H.D. Fu, J. Zhu Yu
Abstract: According to the characteristics of ZPMC automated container terminal operation system, this paper investigates the equipment distribution problem among transportation system, and establishes the scheduling solution of mathematical model for single ship with the shortest total loading/unloading time. Using an improved particle swarm algorithm as the experimental solving method, results show that the proposed model and algorithm are effective and practical.
879
Authors: Jun Liang He, Wei Min Zhang, Wei Yan, Zhan Min Lv
Abstract: Firstly, this paper put forward knowledge acquisition and knowledge organization from the yard plans through KSP. Furthermore, the paper explores the approach of the construction of Production knowledge representation system. Finally, the effectiveness and reliability of the knowledge-based berth and quay crane assignment has been verified by the case studies conducted.
2320