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Data-driven optimization and analytics for maritime logistics

Author

Listed:
  • Kjetil Fagerholt

    (Norwegian University of Science and Technology)

  • Leonard Heilig

    (University of Hamburg)

  • Eduardo Lalla-Ruiz

    (University of Twente)

  • Frank Meisel

    (Kiel University)

  • Shuaian Wang

    (The Hong Kong Polytechnic University)

Abstract

No abstract is available for this item.

Suggested Citation

  • Kjetil Fagerholt & Leonard Heilig & Eduardo Lalla-Ruiz & Frank Meisel & Shuaian Wang, 2023. "Data-driven optimization and analytics for maritime logistics," Flexible Services and Manufacturing Journal, Springer, vol. 35(1), pages 1-4, March.
    • Handle: RePEc:spr:flsman:v:35:y:2023:i:1:d:10.1007_s10696-023-09487-w
    DOI: 10.1007/s10696-023-09487-w
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    References listed on IDEAS

    as
    1. Mingyu Li & Kjetil Fagerholt & Peter Schütz, 2023. "Maritime inventory routing with transshipment: the case of Yamal LNG," Flexible Services and Manufacturing Journal, Springer, vol. 35(1), pages 269-294, March.
    2. Erhan Karakaya & Alice E. Smith & Rosa G. González Ramírez & Jimena Pascual, 2023. "Design of empty container depot layouts using data and analytics," Flexible Services and Manufacturing Journal, Springer, vol. 35(1), pages 196-240, March.
    3. Philip Cammin & Jingjing Yu & Stefan Voß, 2023. "Tiered prediction models for port vessel emissions inventories," Flexible Services and Manufacturing Journal, Springer, vol. 35(1), pages 142-169, March.
    4. Dalila B. M. M. Fontes & S. Mahdi Homayouni, 2023. "A bi-objective multi-population biased random key genetic algorithm for joint scheduling quay cranes and speed adjustable vehicles in container terminals," Flexible Services and Manufacturing Journal, Springer, vol. 35(1), pages 241-268, March.
    5. Abdalrahman Algendi & Sebastián Urrutia & Lars Magnus Hvattum, 2023. "Optimizing production levels in maritime inventory routing with load-dependent speed optimization," Flexible Services and Manufacturing Journal, Springer, vol. 35(1), pages 111-141, March.
    6. Sara El Mekkaoui & Loubna Benabbou & Abdelaziz Berrado, 2023. "Deep learning models for vessel’s ETA prediction: bulk ports perspective," Flexible Services and Manufacturing Journal, Springer, vol. 35(1), pages 5-28, March.
    7. Lorenz Kolley & Nicolas Rückert & Marvin Kastner & Carlos Jahn & Kathrin Fischer, 2023. "Robust berth scheduling using machine learning for vessel arrival time prediction," Flexible Services and Manufacturing Journal, Springer, vol. 35(1), pages 29-69, March.
    8. Jaap-Jan Steeg & Menno Oudshoorn & Neil Yorke-Smith, 2023. "Berth planning and real-time disruption recovery: a simulation study for a tidal port," Flexible Services and Manufacturing Journal, Springer, vol. 35(1), pages 70-110, March.
    9. Hyun Ji Park & Sung Won Cho & Abhilasha Nanda & Jin Hyoung Park, 2023. "Data-driven dynamic stacking strategy for export containers in container terminals," Flexible Services and Manufacturing Journal, Springer, vol. 35(1), pages 170-195, March.
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