Volume 6, Issue 3, September 2020, Page: 61-74
Optimizing Container Truck Dispatching of Container Terminal Through Cooperative Scheduling Strategy
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
Received: Jul. 15, 2020;       Accepted: Jul. 29, 2020;       Published: Aug. 4, 2020
DOI: 10.11648/j.ijtet.20200603.11      View  90      Downloads  45
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.
Container Terminal, Container Truck, Cooperative Scheduling Strategy, Evolutionary Algorithm
To cite this article
Ching-Kuei Kao, Si Zheng, 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. doi: 10.11648/j.ijtet.20200603.11
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.
China Port and Harbors Association. (2017) Statistical data. Available at: http://www.port.org.cn/list/1006_1077_1.htm.
CNR News. (2017) Guangzhou 2017 major project big secret. Available at: http://www.cnr.cn/gd/gdkx/20170613/t20170613_523799097.shtml.
Zhu, R. Y. (2014) Collaborative Optimization of Shipping Logistics Service Supply Chain. PhD diss., Wuhan University of Technology.
Zhang, F. F. (2017) Optimization Research for Yard Truck Scheduling in Container Terminal. Master diss., Shenzhen University.
Xing, Z. C. (2017) Truck Scheduling Optimization of Container Terminals Based on Real-Time Information. Master diss., Zhejiang University.
Yan, Z., and Tao, D. X. (2006) Technology of Truck Process System of Container Terminals Based on Dynamic Optimized Combination. Journal of Wuhan University of Technology (Information & Management Engineering) 28 (04): 26-29.
Han, X. L. (2005) Resources Allocation in Container Terminal Charge/Discharge Operation. PhD diss., Shanghai Maritime University.
Zeng, Q. C., and Yang, Z. Z. (2008) A scheduling model and Q-learning algorithm for yard trailers at container terminals. Journal of Harbin Engineering University 29 (01): 1-4.
Ji, M. J., Liu, F. S. Li, G. J., and Jin, Z. H. (2010) Truck Routing and Allocation Optimization Based on Loading and Unloading Simultaneous Operations in a Container Terminal. Journal of Dalian Maritime University 36 (01): 47-50.
Zeng, Q. C., and Yang, Z. Z. (2007) Two-phase Tabu Search Algorithm of Unloading Operation Scheduling Project in Container Wharf. Journal of Traffic and Transportation Engineering 7 (02): 109-112+122.
Xu, C. J., and Tao, D. X. (2007) A Study of Container Truck Dynamic Dispatch Method Based on Multi-Objective Fuzzy Decision. Journal of Wuhan University of Technology (Information & Management Engineering) 29 (04): 56-59.
Wang, Y., Sun, L. Y., and Li, G. (2008) A Variable Neighborhood Tabu Search for Container Vehicle Routing Problem. Industrial Engineering and Management 13 (05): 6-10+28.
Liang, C. J., and Shen, J. J. (2016) Study on Problem of Quay Cranes and Container Trucks Scheduling with Consideration of Handling Order. Application Research of Computers 33 (12): 3591-3595.
Shao, Q. Q. (2017) Allocation and Scheduling Optimization of Yard crane in Container Yard Based on Truck Appointment Mechanism. PhD diss., Dalian Maritime University.
Feng, C. H. (2011) Study on the Optimization of Scheduling for Berth-Crane-Trailer at Container Terminal. Master diss., Dalian Maritime University.
Tao, J. H., Wang, Y. X., and Xu, B. (2016) Container Terminal Intelligent Management Optimization Strategy. Beijing: China Fortune Press.
Liu, M., Tang, X., and Dai, M. H. (2015) Container Terminal Operation Practice. Beijing: China Communications Press.
Liu, L. Y. (2011) Humen Port Container Business Development Strategy. Containerization 22 (05): 4-5.
Huozhanggui. (2017) 2017 Domestic Port Container Terminal Single Evaluation Ranking publicity. Available at: https://www.huozhanggui.net/xinwen/hangye/5981.html.
PSA DGCT. (2018) PSA Dongguan Container Terminal. Available at: http://www.psa-dgct.com/aboutus.html.
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