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Container Terminal Operation: Current Trends and Future Challenges

In: Handbook of Ocean Container Transport Logistics

Author

Listed:
  • Kap Hwan Kim

    (Pusan National University)

  • Hoon Lee

    (Total Soft Bank Ltd.)

Abstract

This study reviews various planning and control activities in container terminals. Decision-making problems for operation planning and control are defined and new trends in the technological development for each decision-making process are discussed. Relevant research directions and open questions are proposed. The functions of the Terminal Operating System (TOS), which is the software used to implement the decision-making processes, are discussed and commercial TOSs are introduced and compared.

Suggested Citation

  • Kap Hwan Kim & Hoon Lee, 2015. "Container Terminal Operation: Current Trends and Future Challenges," International Series in Operations Research & Management Science, in: Chung-Yee Lee & Qiang Meng (ed.), Handbook of Ocean Container Transport Logistics, edition 127, chapter 2, pages 43-73, Springer.
    • Handle: RePEc:spr:isochp:978-3-319-11891-8_2
    DOI: 10.1007/978-3-319-11891-8_2
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    Citations

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    Cited by:

    1. Xie, Ying & Song, Dong-Ping, 2018. "Optimal planning for container prestaging, discharging, and loading processes at seaport rail terminals with uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 119(C), pages 88-109.
    2. Iris, Çağatay & Christensen, Jonas & Pacino, Dario & Ropke, Stefan, 2018. "Flexible ship loading problem with transfer vehicle assignment and scheduling," Transportation Research Part B: Methodological, Elsevier, vol. 111(C), pages 113-134.
    3. Jia, Shuai & Li, Chung-Lun & Xu, Zhou, 2020. "A simulation optimization method for deep-sea vessel berth planning and feeder arrival scheduling at a container port," Transportation Research Part B: Methodological, Elsevier, vol. 142(C), pages 174-196.
    4. Kang, Liujiang & Meng, Qiang & Tan, Kok Choon, 2020. "Tugboat scheduling under ship arrival and tugging process time uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 144(C).
    5. Shuai Jia & Chung-Lun Li & Zhou Xu, 2019. "Managing Navigation Channel Traffic and Anchorage Area Utilization of a Container Port," Transportation Science, INFORMS, vol. 53(3), pages 728-745, May.
    6. Lucija Bukvić & Jasmina Pašagić Škrinjar & Borna Abramović & Vladislav Zitrický, 2021. "Route Selection Decision-Making in an Intermodal Transport Network Using Game Theory," Sustainability, MDPI, vol. 13(8), pages 1-16, April.
    7. Wang, Fan & Xiong, Minghua & Niu, Baozhuang & Zhuo, Xiaopo, 2018. "Impact of government subsidy on BOT contract design: Price, demand, and concession period," Transportation Research Part B: Methodological, Elsevier, vol. 110(C), pages 137-159.
    8. Wang, Ning & Jin, Bo & Zhang, Zizhen & Lim, Andrew, 2017. "A feasibility-based heuristic for the container pre-marshalling problem," European Journal of Operational Research, Elsevier, vol. 256(1), pages 90-101.
    9. Park, Jaehun & Lee, Byung Kwon, 2020. "Liner-dedicated manageability estimation for port operational reliability," Reliability Engineering and System Safety, Elsevier, vol. 198(C).
    10. Kastner, Marvin & Peters, Malte & Jahn, Carlos, 2021. "Assessing performance of container slot allocation heuristics," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Jahn, Carlos & Kersten, Wolfgang & Ringle, Christian M. (ed.), Adapting to the Future: Maritime and City Logistics in the Context of Digitalization and Sustainability. Proceedings of the Hamburg International Conf, volume 32, pages 427-454, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    11. Damla Kizilay & Deniz Türsel Eliiyi, 2021. "A comprehensive review of quay crane scheduling, yard operations and integrations thereof in container terminals," Flexible Services and Manufacturing Journal, Springer, vol. 33(1), pages 1-42, March.
    12. Dongping Song, 2021. "A Literature Review, Container Shipping Supply Chain: Planning Problems and Research Opportunities," Logistics, MDPI, vol. 5(2), pages 1-26, June.
    13. Lee, Chung-Yee & Song, Dong-Ping, 2017. "Ocean container transport in global supply chains: Overview and research opportunities," Transportation Research Part B: Methodological, Elsevier, vol. 95(C), pages 442-474.
    14. Miguel Hervás-Peralta & Sara Poveda-Reyes & Gemma Dolores Molero & Francisco Enrique Santarremigia & Juan-Pascual Pastor-Ferrando, 2019. "Improving the Performance of Dry and Maritime Ports by Increasing Knowledge about the Most Relevant Functionalities of the Terminal Operating System (TOS)," Sustainability, MDPI, vol. 11(6), pages 1-23, March.
    15. Xiao, Tingting & Ha, Albert Y., 2018. "Optimal unloading and storage pricing for inbound containers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 111(C), pages 210-228.
    16. Xing, Xinjie & Song, Dongping & Qiu, Chengfeng & Drake, Paul R. & Zhan, Yuanzhu, 2023. "Joint tank container demurrage policy and flow optimisation using a progressive hedging algorithm with expanded time-space network," European Journal of Operational Research, Elsevier, vol. 307(2), pages 663-679.
    17. Geoffrey C. Preston & Phillip Horne & Maria Paola Scaparra & Jesse R. O’Hanley, 2020. "Masterplanning at the Port of Dover: The Use of Discrete-Event Simulation in Managing Road Traffic," Sustainability, MDPI, vol. 12(3), pages 1-19, February.
    18. Raka Jovanovic & Shunji Tanaka & Tatsushi Nishi & Stefan Voß, 2019. "A GRASP approach for solving the Blocks Relocation Problem with Stowage Plan," Flexible Services and Manufacturing Journal, Springer, vol. 31(3), pages 702-729, September.
    19. Li, Shuqin & Jia, Shuai, 2019. "The seaport traffic scheduling problem: Formulations and a column-row generation algorithm," Transportation Research Part B: Methodological, Elsevier, vol. 128(C), pages 158-184.

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