Local truckload trucking plays a major role in the freight transportation industry. In operations in which travel times, loading and unloading times, and waiting times at intermodal and customer facilities are stochastic, deterministic assignment methods can perform poorly. Efficient stochastic assignment models could provide significant benefits. Techniques for developing assignments that explicitly incorporate stochastic elements of the problem have been explored. Several alternative assignment models to take into account both time windows and stochastic service times have been proposed.


    Zugriff

    Download

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Assignment Models for Local Truckload Trucking Problems with Stochastic Service Times and Time Window Constraints


    Weitere Titelangaben:

    Transportation Research Record: Journal of the Transportation Research Board


    Beteiligte:
    Wang, Xiubin (Autor:in) / Regan, Amelia C. (Autor:in)


    Erscheinungsdatum :

    01.01.2001




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch