Multi-stop Delivery Planning

Multi-Stop Delivery Planning is a computational optimization framework within last-mile delivery that determines the most efficient sequence of stops and routes for a single vehicle serving multiple destinations, distinguishing itself from general routing methods by explicitly integrating time constraints, delivery windows, and dynamic urban logistics conditions.

11

Publications

584

Citations

37

Authors

22

Institutions

Publications per year

2017–2026

8

Authors

37

  1. RI
    Rosy Innarella

    University of Rome Tor Vergata, Italy

    1 publications · 18 citations

    1

    h-index

  2. JS
    Jie Song

    Peking University, China

    1 publications · 32 citations

    1

    h-index

  3. MN
    Malick Ndiaye

    American University of Sharjah, United Arab Emirates

    1 publications · 42 citations

    1

    h-index

  4. NB
    Nils Boysen

    Friedrich Schiller University Jena, Germany

    1 publications · 214 citations

    1

    h-index

  5. HX
    Hongbo Xu

    Central China Normal University, China

    1 publications · 33 citations

    1

    h-index

1–5 of 37

Venues

  1. European Journal of Operational Research

    2 publications · 74 citations

    2

    h-index

  2. Archives of Transport

    1 publications · 18 citations

    1

    h-index

  3. Journal of the Operational Research Society

    OR · 1 publications · 77 citations

    1

    h-index

  4. Procedia - Social and Behavioral Sciences

    1 publications · 79 citations

    1

    h-index

  5. Sustainability

    1 publications · 45 citations

    1

    h-index

1–5