Scenario-Scaping with Inverse Programming for Intermodal Transportation

Christina Naomi Burt (Speaker), Jakob Puchinger

    Research output: Chapter in Book or Conference ProceedingsConference Proceedings with Oral Presentation

    Abstract

    We study an intermodal transportation problem over a long-term planning horizon where scenarios involving different equipment, location and network arcs are possible. We model the problem as a capacitated multi-commodity network flow problem and make use of inverse programming techniques to sketch the landscape of the uncertain scenario cost function to show when one scenario becomes preferable to another. We apply reduction, preprocessing and heuristic methods to solve some steps our procedure.
    Original languageEnglish
    Title of host publicationINFORMS 2011 Annual Meeting
    Publication statusPublished - 2011
    EventINFORMS 2011 -
    Duration: 13 Nov 201116 Nov 2011

    Conference

    ConferenceINFORMS 2011
    Period13/11/1116/11/11

    Research Field

    • Former Research Field - Mobility Systems

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