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The Berth Allocation Problem with Channel Restrictions

Author

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  • Paul Corry

    (Queensland University of Technology, Brisbane, Queensland 4000, Australia)

  • Christian Bierwirth

    (Martin-Luther-Universität of Halle-Wittenberg, 06108 Halle, Germany)

Abstract

Shipping channels are often a constraint to port capacity because of the significant capital cost and environmental impact of channel dredging. Channels are often narrow in places, which constrains the capability of vessels passing in opposing directions. Capacity impacts of channel operations are significant in tidally restricted ports, where deep draft vessels are able to move through the channel only during narrow windows around high tide to maintain sufficient under-keel clearance. There has been much research to date around berth allocation and sequencing, but in channel-constrained ports, the value of these existing approaches can be limited. This is particularly apparent in a numerical example presented in this paper where the berth allocations are suboptimal when the channel is not considered. In this paper, we present an approach to optimize the scheduling of channel movements and, furthermore, to integrate the channel scheduling and berth allocation/sequencing problems. A mixed integer program formulation is presented for this problem, based on a no-wait bidirectional flow shop with parallel machines. Benchmark problems consistent with the literature for berth allocation/sequencing have been modified to incorporate a range of channel configurations and used as test cases for the proposed model.

Suggested Citation

  • Paul Corry & Christian Bierwirth, 2019. "The Berth Allocation Problem with Channel Restrictions," Transportation Science, INFORMS, vol. 53(3), pages 708-727, May.
  • Handle: RePEc:inm:ortrsc:v:53:y:2019:i:3:p:708-727
    DOI: 10.1287/trsc.2018.0865
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    References listed on IDEAS

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    1. 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.
    2. Burdett, R.L. & Kozan, E., 2010. "A disjunctive graph model and framework for constructing new train schedules," European Journal of Operational Research, Elsevier, vol. 200(1), pages 85-98, January.
    3. Jean-François Cordeau & Gilbert Laporte & Pasquale Legato & Luigi Moccia, 2005. "Models and Tabu Search Heuristics for the Berth-Allocation Problem," Transportation Science, INFORMS, vol. 39(4), pages 526-538, November.
    4. Buhrkal, Katja & Zuglian, Sara & Ropke, Stefan & Larsen, Jesper & Lusby, Richard, 2011. "Models for the discrete berth allocation problem: A computational comparison," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(4), pages 461-473, July.
    5. Bierwirth, Christian & Meisel, Frank, 2015. "A follow-up survey of berth allocation and quay crane scheduling problems in container terminals," European Journal of Operational Research, Elsevier, vol. 244(3), pages 675-689.
    6. Zhen, Lu & Liang, Zhe & Zhuge, Dan & Lee, Loo Hay & Chew, Ek Peng, 2017. "Daily berth planning in a tidal port with channel flow control," Transportation Research Part B: Methodological, Elsevier, vol. 106(C), pages 193-217.
    7. 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.
    8. M. Flavia Monaco & Marcello Sammarra, 2007. "The Berth Allocation Problem: A Strong Formulation Solved by a Lagrangean Approach," Transportation Science, INFORMS, vol. 41(2), pages 265-280, May.
    9. 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.
    10. Higgins, A. & Kozan, E. & Ferreira, L., 1996. "Optimal scheduling of trains on a single line track," Transportation Research Part B: Methodological, Elsevier, vol. 30(2), pages 147-161, April.
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