The recent increase in online orders in e-commerce leads to logistical challenges such as low hit rates (proportion of successful deliveries). We consider last-mile vehicle routing and scheduling problems in which customer presence probability data are taken into account. The aim is to reduce the expected cost resulting from low hit rates by considering both routing and scheduling decisions simultaneously in the planning phase. We model the problem and solve it by the means of an adaptive large neighborhood search metaheuristic which iterates between the routing and scheduling components of the problem. Computational experiments indicate that using customer-related presence data significantly can yield savings as large as 40% in system-wide costs compared with those of traditional vehicle routing solutions.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Optimizing e-commerce last-mile vehicle routing and scheduling under uncertain customer presence


    Beteiligte:

    Erscheinungsdatum :

    01.04.2021


    Anmerkungen:

    Ozarik , S , Veelenturf , L P , van Woensel , T & Laporte , G 2021 , ' Optimizing e-commerce last-mile vehicle routing and scheduling under uncertain customer presence ' , Transportation Research. Part E: Logistics and Transportation Review , vol. 148 , 102263 . https://doi.org/10.1016/j.tre.2021.102263



    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    DDC:    629




    Routing and Scheduling for a Last-Mile Transportation System

    Wang, Hai | British Library Online Contents | 2019



    Optimizing vehicle routing and scheduling under time constraints

    Bala Karlo / Bandecchi Michele / Brcanov Dejan et al. | DOAJ | 2024

    Freier Zugriff

    Online Drone Scheduling for Last-mile Delivery

    Jana, Saswata / Italiano, Giuseppe F. / Kashyop, Manas Jyoti et al. | ArXiv | 2024

    Freier Zugriff