Optimizing Container Truck Dispatching of Container Terminal Through Cooperative Scheduling Strategy

Ching-Kuei Kao; Si Zheng

doi:doi:10.11648/j.ijtet.20200603.11

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Optimizing Container Truck Dispatching of Container Terminal Through Cooperative Scheduling Strategy

Ching-Kuei Kao, Si Zheng

Published in International Journal of Transportation Engineering and Technology (Volume 6, Issue 3)

Received: 15 July 2020 Accepted: 29 July 2020 Published: 4 August 2020

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Abstract

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.

Published in	International Journal of Transportation Engineering and Technology (Volume 6, Issue 3)
DOI	10.11648/j.ijtet.20200603.11
Page(s)	61-74
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2020. Published by Science Publishing Group

Keywords

Container Terminal, Container Truck, Cooperative Scheduling Strategy, Evolutionary Algorithm

References

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[7]	Han, X. L. (2005) Resources Allocation in Container Terminal Charge/Discharge Operation. PhD diss., Shanghai Maritime University.
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APA Style

Ching-Kuei Kao, Si Zheng. (2020). Optimizing Container Truck Dispatching of Container Terminal Through Cooperative Scheduling Strategy. International Journal of Transportation Engineering and Technology, 6(3), 61-74. https://doi.org/10.11648/j.ijtet.20200603.11

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ACS Style

Ching-Kuei Kao; Si Zheng. Optimizing Container Truck Dispatching of Container Terminal Through Cooperative Scheduling Strategy. Int. J. Transp. Eng. Technol. 2020, 6(3), 61-74. doi: 10.11648/j.ijtet.20200603.11

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AMA Style

Ching-Kuei Kao, Si Zheng. Optimizing Container Truck Dispatching of Container Terminal Through Cooperative Scheduling Strategy. Int J Transp Eng Technol. 2020;6(3):61-74. doi: 10.11648/j.ijtet.20200603.11

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@article{10.11648/j.ijtet.20200603.11,
  author = {Ching-Kuei Kao and Si Zheng},
  title = {Optimizing Container Truck Dispatching of Container Terminal Through Cooperative Scheduling Strategy},
  journal = {International Journal of Transportation Engineering and Technology},
  volume = {6},
  number = {3},
  pages = {61-74},
  doi = {10.11648/j.ijtet.20200603.11},
  url = {https://doi.org/10.11648/j.ijtet.20200603.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijtet.20200603.11},
  abstract = {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.},
 year = {2020}
}

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TY  - JOUR
T1  - Optimizing Container Truck Dispatching of Container Terminal Through Cooperative Scheduling Strategy
AU  - Ching-Kuei Kao
AU  - Si Zheng
Y1  - 2020/08/04
PY  - 2020
N1  - https://doi.org/10.11648/j.ijtet.20200603.11
DO  - 10.11648/j.ijtet.20200603.11
T2  - International Journal of Transportation Engineering and Technology
JF  - International Journal of Transportation Engineering and Technology
JO  - International Journal of Transportation Engineering and Technology
SP  - 61
EP  - 74
PB  - Science Publishing Group
SN  - 2575-1751
UR  - https://doi.org/10.11648/j.ijtet.20200603.11
AB  - 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.
VL  - 6
IS  - 3
ER  -

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Author Information

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

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Plain Text BibTeX RIS

APA Style

Ching-Kuei Kao, Si Zheng. (2020). Optimizing Container Truck Dispatching of Container Terminal Through Cooperative Scheduling Strategy. International Journal of Transportation Engineering and Technology, 6(3), 61-74. https://doi.org/10.11648/j.ijtet.20200603.11

Copy | Download

ACS Style

Ching-Kuei Kao; Si Zheng. Optimizing Container Truck Dispatching of Container Terminal Through Cooperative Scheduling Strategy. Int. J. Transp. Eng. Technol. 2020, 6(3), 61-74. doi: 10.11648/j.ijtet.20200603.11

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AMA Style

Ching-Kuei Kao, Si Zheng. Optimizing Container Truck Dispatching of Container Terminal Through Cooperative Scheduling Strategy. Int J Transp Eng Technol. 2020;6(3):61-74. doi: 10.11648/j.ijtet.20200603.11

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@article{10.11648/j.ijtet.20200603.11,
  author = {Ching-Kuei Kao and Si Zheng},
  title = {Optimizing Container Truck Dispatching of Container Terminal Through Cooperative Scheduling Strategy},
  journal = {International Journal of Transportation Engineering and Technology},
  volume = {6},
  number = {3},
  pages = {61-74},
  doi = {10.11648/j.ijtet.20200603.11},
  url = {https://doi.org/10.11648/j.ijtet.20200603.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijtet.20200603.11},
  abstract = {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.},
 year = {2020}
}

Copy | Download

TY  - JOUR
T1  - Optimizing Container Truck Dispatching of Container Terminal Through Cooperative Scheduling Strategy
AU  - Ching-Kuei Kao
AU  - Si Zheng
Y1  - 2020/08/04
PY  - 2020
N1  - https://doi.org/10.11648/j.ijtet.20200603.11
DO  - 10.11648/j.ijtet.20200603.11
T2  - International Journal of Transportation Engineering and Technology
JF  - International Journal of Transportation Engineering and Technology
JO  - International Journal of Transportation Engineering and Technology
SP  - 61
EP  - 74
PB  - Science Publishing Group
SN  - 2575-1751
UR  - https://doi.org/10.11648/j.ijtet.20200603.11
AB  - 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.
VL  - 6
IS  - 3
ER  -

Copy | Download