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Tactical berth and yard template design at container transshipment terminals: A column generation based approach

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  • Jin, Jian Gang
  • Lee, Der-Horng
  • Hu, Hao

Abstract

Quay-side berthing congestion is an emerging challenging issue that arises in busy container transshipment terminals and calls for effective management of terminal operations. This paper tackles the berthing congestion problem by introducing a proactive management strategy from the terminal’s perspective that adjusts the calling schedule of feeder vessels in such a way that the quay-side workload distribution in the temporal dimension can be balanced. Such a schedule template design problem is considered simultaneously with another two tactical level decision problems, berth template design (i.e., determining preferred berthing positions for vessels) and yard template design (i.e., allocating storage yard space to transshipment flows). This highly integrated problem is formulated as a set covering model. Heuristic methods based on column generation are developed to obtain near-optimal solutions in an efficient way. Computational experiments on real-world sized test instances demonstrate the efficiency and effectiveness of the proposed approach.

Suggested Citation

  • Jin, Jian Gang & Lee, Der-Horng & Hu, Hao, 2015. "Tactical berth and yard template design at container transshipment terminals: A column generation based approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 73(C), pages 168-184.
  • Handle: RePEc:eee:transe:v:73:y:2015:i:c:p:168-184
    DOI: 10.1016/j.tre.2014.11.009
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    References listed on IDEAS

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    1. Lee, Der-Horng & Jin, Jian Gang, 2013. "Feeder vessel management at container transshipment terminals," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 49(1), pages 201-216.
    2. Talley, Wayne K., 2006. "An Economic Theory of the Port," Research in Transportation Economics, Elsevier, vol. 16(1), pages 43-65, January.
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    4. Kim, Kap Hwan & Moon, Kyung Chan, 2003. "Berth scheduling by simulated annealing," Transportation Research Part B: Methodological, Elsevier, vol. 37(6), pages 541-560, July.
    5. Imai, Akio & Nishimura, Etsuko & Papadimitriou, Stratos, 2001. "The dynamic berth allocation problem for a container port," Transportation Research Part B: Methodological, Elsevier, vol. 35(4), pages 401-417, May.
    6. Imai, Akio & Yamakawa, Yukiko & Huang, Kuancheng, 2014. "The strategic berth template problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 72(C), pages 77-100.
    7. Bierwirth, Christian & Meisel, Frank, 2010. "A survey of berth allocation and quay crane scheduling problems in container terminals," European Journal of Operational Research, Elsevier, vol. 202(3), pages 615-627, May.
    8. Fan, Lei & Wilson, William W. & Dahl, Bruce, 2012. "Congestion, port expansion and spatial competition for US container imports," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(6), pages 1121-1136.
    9. Giallombardo, Giovanni & Moccia, Luigi & Salani, Matteo & Vacca, Ilaria, 2010. "Modeling and solving the Tactical Berth Allocation Problem," Transportation Research Part B: Methodological, Elsevier, vol. 44(2), pages 232-245, February.
    10. Zhang, Chuqian & Liu, Jiyin & Wan, Yat-wah & Murty, Katta G. & Linn, Richard J., 2003. "Storage space allocation in container terminals," Transportation Research Part B: Methodological, Elsevier, vol. 37(10), pages 883-903, December.
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    Citations

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    Cited by:

    1. Wang, Shuaian, 2015. "Optimal sequence of container ships in a string," European Journal of Operational Research, Elsevier, vol. 246(3), pages 850-857.
    2. Jiang, Xin Jia & Jin, Jian Gang, 2017. "A branch-and-price method for integrated yard crane deployment and container allocation in transshipment yards," Transportation Research Part B: Methodological, Elsevier, vol. 98(C), pages 62-75.
    3. Tao, Yi & Lee, Chung-Yee, 2015. "Joint planning of berth and yard allocation in transshipment terminals using multi-cluster stacking strategy," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 83(C), pages 34-50.
    4. Talley, Wayne K. & Ng, ManWo, 2016. "Port multi-service congestion," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 94(C), pages 66-70.
    5. Liu, Ming & Lee, Chung-Yee & Zhang, Zizhen & Chu, Chengbin, 2016. "Bi-objective optimization for the container terminal integrated planning," Transportation Research Part B: Methodological, Elsevier, vol. 93(PB), pages 720-749.
    6. Zhen, Lu, 2016. "Modeling of yard congestion and optimization of yard template in container ports," Transportation Research Part B: Methodological, Elsevier, vol. 90(C), pages 83-104.
    7. Zhen, Lu & Shen, Tao & Wang, Shuaian & Yu, Shucheng, 2016. "Models on ship scheduling in transshipment hubs with considering bunker cost," International Journal of Production Economics, Elsevier, vol. 173(C), pages 111-121.
    8. repec:eee:transe:v:105:y:2017:i:c:p:123-147 is not listed on IDEAS
    9. repec:eee:transb:v:106:y:2017:i:c:p:193-217 is not listed on IDEAS

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