AngelStow: A Commercial Optimization-Based Decision Support Tool for Stowage Planning

Alberto Delgado-Ortegon, Rune Møller Jensen, Nicolas Guilbert

    Publikation: Konferencebidrag - EJ publiceret i proceeding eller tidsskriftKonferenceabstrakt til konferenceForskningpeer review

    Abstract

    Nowadays a considerable part of trade goods are seaborne, with around 90% of all non-bulk cargo carried by container vessels. These vessels follow specific routes loading and unloading containers at different ports. A Stowage Plan (SP) assigns containers to load in a port to vessel slots. Good SPs save port fees, optimize use of vessel capacity, and reduce bunker consumption. Stowage Coordinators (SCs) produce these plans manually with the help of graphical tools, but high-quality SPs are hard to generate with the limited support they provide. In this abstract, we introduce AngelStow which is a commercial optimization-based decision support tool for stowing container vessels developed in
    collaboration between Ange Optimization and The IT University of Copenhagen. The tool assists SCs in the process of generating SPs interactively, focusing on satisfying and optimizing constraints and objectives that are tedious to deal with for humans, while letting the SCs use their expertise to deal with hard combinatorial objectives and corner cases.
    OriginalsprogEngelsk
    Publikationsdatosep. 2011
    Antal sider2
    StatusUdgivet - sep. 2011
    Begivenhed2nd International Conference on Computational Logistics - University of Hamburg, Hamburg, Tyskland
    Varighed: 19 sep. 201122 sep. 2011
    Konferencens nummer: 2

    Konference

    Konference2nd International Conference on Computational Logistics
    Nummer2
    LokationUniversity of Hamburg
    Land/OmrådeTyskland
    ByHamburg
    Periode19/09/201122/09/2011

    Emneord

    • Container Stowage
    • Optimization-based Decision Support
    • Maritime Trade Logistics
    • Stowage Plan Automation
    • Interactive Planning Tools

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