The number of online market places for freight matching is on the rise. Online market places help small trucking companies find shipping customers. However, they do not provide cargo consolidation strategies. This lack of effective consolidation has adverse effects on the shipping industry and greenhouse gas emission. To that extent, this article addresses Multiple Vehicle Pickup and Delivery Problem with Time Windows (MVPDPTW). We propose a Mixed Integer Programming (MIP) model and a branch-and-cut algorithm geared towards identifying effective freight consolidation opportunities. For emission studies, we used a cost conversion technique from the literature to convert emission levels into monetary values. On real-world logistics company test instances, our model identified routes with lower cost and lower emission levels than the actual routes.


    Access

    Download


    Export, share and cite



    Title :

    Freight Consolidation Problem with Time Windows, Pickup and Delivery Sequence


    Contributors:


    Publication date :

    2019




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown




    Freight Pickup and Delivery with Time Windows, Heterogeneous Fleet and Alternative Delivery Points

    Decerle, Jérémy / Corman, Francesco | British Library Conference Proceedings | 2019



    Freight Flow Consolidation in Presence of Time Windows

    Schonberger, J. / Kopfer, H. / German Operations Research Society et al. | British Library Conference Proceedings | 2005



    Genetic Algorithm for a Pickup and Delivery Problem with Time Windows

    Jung, Soojung / Haghani, Ali | Transportation Research Record | 2000