Fast Generation of Near-Optimal Plans for Eco-Efficient Stowage of Large Container Vessels

Dario Pacino, Alberto Delgado, Rune Møller Jensen, Tom Bebbington

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    Abstract

    Eco-efficient stowage plans that are both competitive and sustainable have become a priority for the shipping industry. Stowage planning is NP-hard and is a challenging optimization problem in practice. We propose a new 2-phase approach that generates near-optimal stowage plans and fulfills industrial time and quality requirements. Our approach combines an integer programming model for assigning groups of containers to storage areas of the vessel over multiple ports, and a constraint programming and local search procedure for stowing individual containers.
    Original languageEnglish
    JournalProceedings of the International Joint Conference on Artificial Intelligence
    Pages (from-to)286-301
    ISSN1045-0823
    Publication statusPublished - 2011
    Event2nd International Conference on Computational Logistics - Hamburg, Germany
    Duration: 19 Sep 201122 Sep 2011
    Conference number: 2

    Conference

    Conference2nd International Conference on Computational Logistics
    Number2
    Country/TerritoryGermany
    CityHamburg
    Period19/09/201122/09/2011

    Keywords

    • COMPUTER
    • OPERATIONS
    • SHIP

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