A Placement Heuristic for a Commercial Decision Support System for Container Vessel Stowage

Alberto Delgado-Ortegon, Rune Møller Jensen, Nicolas Guilbert

    Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearchpeer-review

    Abstract

    Decision support systems have become a viable approach to tackle
    complex optimization problems. The combination of experts' know-how
    and efficient optimization algorithms can dramatically improve
    solution quality and reduce work time. Some of these systems rely on
    continuous interaction with their users and almost all require
    fast feedback from the optimization algorithms. We propose a placement
    heuristic that serves as the optimization component of a decision
    support system to interactively generate container vessel stowage
    plans, a complex problem with high economical impact within the
    shipping industry. Our experimental evaluation shows that the
    placement heuristic is fast enough for interactive optimization and
    produces solutions that are competitive with expert users.
    Original languageEnglish
    Title of host publicationInformatica (CLEI), 2012 XXXVIII Conferencia Latinoamericana En
    Number of pages9
    PublisherIEEE
    Publication date4 Feb 2013
    Pages1-9
    ISBN (Print)978-1-4673-0793-2
    Publication statusPublished - 4 Feb 2013

    Keywords

    • Stowage planning
    • Linear Programming
    • Heuristic methods

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