Optimizing Container Truck Dispatching of Container Terminal Through Cooperative Scheduling Strategy
International Journal of Transportation Engineering and Technology
Volume 6, Issue 3, September 2020, Pages: 61-74
Received: Jul. 15, 2020;
Accepted: Jul. 29, 2020;
Published: Aug. 4, 2020
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Ching-Kuei Kao, Key Laboratory of LNG Industry Chain, Fujian University of Technology, Fuzhou City, China
Si Zheng, Department of Logistics Management, Beijing Institute of Technology, Zhuhai, Zhuhai City, China
Container terminals are the hubs that connect seas and lands in international transportation. In the globalization context of trade, the pursuit of efficient terminal operation is the goal of container terminals, transportation companies, and local governments. As a connecting transportation tool for terminal loading and unloading operations, horizontal transport, and storage operations, the operation of container trucks is optimized on the basis of a coordinated scheduling strategy with terminal working machinery in order to be in line with the concept of high-efficiency operation. Thus, the shortest operating time of ships is taken as the goal, and then the variables of the docking position of the ship and the number of quay crane operations are considered, a model for the three major processes of ship docking is developed, including the docking of ships and the number of quayside operations by arranging storage, transportation, and quay cranes and container trucks in the backyard. Subsequently, an evolutionary algorithm in Excel solver is used for the calculation of the examples, and the effectiveness of stack scheduling in optimizing terminal operation is finally confirmed on the basis of the cooperative scheduling strategy. According to the analysis results, 23.43% of the operation time can be saved under the loading and unloading coordinated container operation.
Optimizing Container Truck Dispatching of Container Terminal Through Cooperative Scheduling Strategy, International Journal of Transportation Engineering and Technology.
Vol. 6, No. 3,
2020, pp. 61-74.
Copyright © 2020 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/
) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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