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A vehicle routing problem with multiple overlapped batches

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  • Yu, Mingzhu
  • Qi, Xiangtong

Abstract

This paper considers a vehicle routing problem faced by an express company which tackles complicated operations involving time window constraints, multiple delivery and pick-up customer visits per day, multiple trips per vehicle, and latency cost for each delivery. It is challenging in that it involves multiple delivery and pick-up batches and the time spans of the batches are overlapped. We formally define the problem and develop two tabu search algorithms. By computational experiments, we find one algorithm outperforms the other by getting better solution in much shorter time. Moreover, our approach produces a significant cost saving for the company.

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  • Yu, Mingzhu & Qi, Xiangtong, 2014. "A vehicle routing problem with multiple overlapped batches," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 61(C), pages 40-55.
    • Handle: RePEc:eee:transe:v:61:y:2014:i:c:p:40-55
    DOI: 10.1016/j.tre.2013.10.004
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    References listed on IDEAS

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    Cited by:

    1. Lai, David S.W. & Caliskan Demirag, Ozgun & Leung, Janny M.Y., 2016. "A tabu search heuristic for the heterogeneous vehicle routing problem on a multigraph," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 86(C), pages 32-52.
    2. Marques, Alexandra & Soares, Ricardo & Santos, Maria João & Amorim, Pedro, 2020. "Integrated planning of inbound and outbound logistics with a Rich Vehicle Routing Problem with backhauls," Omega, Elsevier, vol. 92(C).
    3. Anna Corinna Cagliano & Alberto Marco & Giulio Mangano & Giovanni Zenezini, 2017. "Levers of logistics service providers’ efficiency in urban distribution," Operations Management Research, Springer, vol. 10(3), pages 104-117, December.
    4. Maria João Santos & Pedro Amorim & Alexandra Marques & Ana Carvalho & Ana Póvoa, 2020. "The vehicle routing problem with backhauls towards a sustainability perspective: a review," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 28(2), pages 358-401, July.
    5. Stefan Bock, 2016. "Finding optimal tour schedules on transportation paths under extended time window constraints," Journal of Scheduling, Springer, vol. 19(5), pages 527-546, October.
    6. Seung Hyun Kim & Sang Hoon Bae, 2016. "Optimal solution to the vehicle routing problem by adopting a meta-heuristic algorithm," Transportation Planning and Technology, Taylor & Francis Journals, vol. 39(6), pages 574-585, August.

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