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Drone Delivery Vehicle Routing Problem with Multi-flight Level

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Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems (APMS 2021)

Part of the book series: IFIP Advances in Information and Communication Technology ((IFIPAICT,volume 632))

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Abstract

The advantage of drone delivery is that it can efficiently use the vertical space in the air, allowing multiple operations at different flight levels. However, flight level and delivery efficiency come at a tradeoff, especially in a metropolitan area with many skyscrapers; placing drones higher requires more time, but the higher they are, the less detour they make due to the smaller number of buildings at higher altitudes, resulting reduced time in routing. This study integrates the problem by dividing the heights and identifying buildings that could possibly be an obstacle. We propose a novel vehicle routing problem for multi-flight level drone delivery to minimize delivery completed time.

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Author information

Authors and Affiliations

  1. Purdue University, West Lafayette, IN, 47906, USA

    Yonggab Kim, Hoyoung Jung & Seokcheon Lee

Authors
  1. Yonggab Kim
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  2. Hoyoung Jung
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  3. Seokcheon Lee
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Corresponding author

Correspondence to Yonggab Kim .

Editor information

Editors and Affiliations

  1. IMT Atlantique, Nantes, France

    Alexandre Dolgui

  2. Centrale Nantes, Nantes, France

    Alain Bernard

  3. IMT Atlantique, Nantes, France

    David Lemoine

  4. ZF Friedrichshafen AG, Friedrichshafen, Germany

    Gregor von Cieminski

  5. Tecnológico de Monterrey, Mexico City, Mexico

    David Romero

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Kim, Y., Jung, H., Lee, S. (2021). Drone Delivery Vehicle Routing Problem with Multi-flight Level. In: Dolgui, A., Bernard, A., Lemoine, D., von Cieminski, G., Romero, D. (eds) Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems. APMS 2021. IFIP Advances in Information and Communication Technology, vol 632. Springer, Cham. https://doi.org/10.1007/978-3-030-85906-0_5

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  • DOI: https://doi.org/10.1007/978-3-030-85906-0_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-85905-3

  • Online ISBN: 978-3-030-85906-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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