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Joint planning of berth and yard allocation in transshipment terminals using multi-cluster stacking strategy

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  • Tao, Yi
  • Lee, Chung-Yee

Abstract

In this work, a joint planning problem for berth and yard allocation in transshipment terminals is addressed. Multi-cluster stacking strategy is proposed to split each transshipment flow into a number of container clusters and then stack each cluster in different yard blocks. A mixed integer quadratic programming model is formulated to minimize the total distance of exchanging containers between mother vessels and feeders, and the workload imbalance among yard blocks. A novel three-stage heuristic solution approach is developed and extensive numerical experiments are conducted to show the effectiveness of the proposed approach and the benefit of the multi-cluster strategy.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:transe:v:83:y:2015:i:c:p:34-50
    DOI: 10.1016/j.tre.2015.08.005
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    References listed on IDEAS

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    Cited by:

    1. H. L. Ma & S. H. Chung & H. K. Chan & Li Cui, 2019. "An integrated model for berth and yard planning in container terminals with multi-continuous berth layout," Annals of Operations Research, Springer, vol. 273(1), pages 409-431, February.
    2. Zhang, An & Qi, Xiangtong & Li, Guanhua, 2020. "Machine scheduling with soft precedence constraints," European Journal of Operational Research, Elsevier, vol. 282(2), pages 491-505.
    3. Dafnomilis, I. & Duinkerken, M.B. & Junginger, M. & Lodewijks, G. & Schott, D.L., 2018. "Optimal equipment deployment for biomass terminal operations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 115(C), pages 147-163.
    4. 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.
    5. Arijit De & Saurabh Pratap & Akhilesh Kumar & M. K. Tiwari, 2020. "A hybrid dynamic berth allocation planning problem with fuel costs considerations for container terminal port using chemical reaction optimization approach," Annals of Operations Research, Springer, vol. 290(1), pages 783-811, July.
    6. Zhang, Xiaoju & Zeng, Qingcheng & Yang, Zhongzhen, 2016. "Modeling the mixed storage strategy for quay crane double cycling in container terminals," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 94(C), pages 171-187.
    7. 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.
    8. Zhen, Lu & Zhuge, Dan & Wang, Shuaian & Wang, Kai, 2022. "Integrated berth and yard space allocation under uncertainty," Transportation Research Part B: Methodological, Elsevier, vol. 162(C), pages 1-27.
    9. Wang, Mengyao & Zhou, Chenhao & Wang, Aihu, 2022. "A cluster-based yard template design integrated with yard crane deployment using a placement heuristic," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 160(C).
    10. Matthew E. H. Petering & Yong Wu & Wenkai Li & Mark Goh & Robert Souza & Katta G. Murty, 2017. "Real-time container storage location assignment at a seaport container transshipment terminal: dispersion levels, yard templates, and sensitivity analyses," Flexible Services and Manufacturing Journal, Springer, vol. 29(3), pages 369-402, December.
    11. Zhou, Chenhao & Wang, Wencheng & Li, Haobin, 2020. "Container reshuffling considered space allocation problem in container terminals," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 136(C).
    12. Bouzekri, Hamza & Bara, Najat & Alpan, Gülgün & Giard, Vincent, 2022. "An integrated Decision Support System for planning production, storage and bulk port operations in a fertilizer supply chain," International Journal of Production Economics, Elsevier, vol. 252(C).

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