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.


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    Title :

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


    Additional title:

    Transportation Research Record: Journal of the Transportation Research Board


    Contributors:


    Publication date :

    2001-01-01




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English