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Drone location and vehicle fleet planning with trucks and aerial drones

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  • Rave, Alexander
  • Fontaine, Pirmin
  • Kuhn, Heinrich

Abstract

In the context of parcel delivery, aerial drones have great potential that particularly applies in rural areas. In these areas drones mostly operate faster than trucks. As drones are limited in their payload, a combination of trucks and drones can be beneficial in reducing last-mile delivery costs. There are two different delivery methods that combine truck and drone delivery: trucks and drones collaborating with each other with drones launched from trucks, and trucks and drones serving customers independently of each other with drones launched from microdepots or the central distribution center.

Suggested Citation

  • Rave, Alexander & Fontaine, Pirmin & Kuhn, Heinrich, 2023. "Drone location and vehicle fleet planning with trucks and aerial drones," European Journal of Operational Research, Elsevier, vol. 308(1), pages 113-130.
    • Handle: RePEc:eee:ejores:v:308:y:2023:i:1:p:113-130
    DOI: 10.1016/j.ejor.2022.10.015
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    References listed on IDEAS

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    Cited by:

    1. Pina-Pardo, Juan C. & Silva, Daniel F. & Smith, Alice E. & Gatica, Ricardo A., 2024. "Fleet resupply by drones for last-mile delivery," European Journal of Operational Research, Elsevier, vol. 316(1), pages 168-182.
    2. Vichitkunakorn, Panupong & Emde, Simon & Masae, Makusee & Glock, Christoph H. & Grosse, Eric H., 2024. "Locating charging stations and routing drones for efficient automated stocktaking," European Journal of Operational Research, Elsevier, vol. 316(3), pages 1129-1145.
    3. Meng, Shanshan & Chen, Yanru & Li, Dong, 2024. "The multi-visit drone-assisted pickup and delivery problem with time windows," European Journal of Operational Research, Elsevier, vol. 314(2), pages 685-702.
    4. Zandieh, Fatemeh & Ghannadpour, Seyed Farid & Mazdeh, Mohammad Mahdavi, 2024. "New integrated routing and surveillance model with drones and charging station considerations," European Journal of Operational Research, Elsevier, vol. 313(2), pages 527-547.

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