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Optimised solutions to the last-mile delivery problem in London using a combination of walking and driving

Author

Listed:
  • Antonio Martinez-Sykora

    (University of Southampton)

  • Fraser McLeod

    (University of Southampton)

  • Carlos Lamas-Fernandez

    (University of Southampton)

  • Tolga Bektaş

    (University of Liverpool)

  • Tom Cherrett

    (University of Southampton)

  • Julian Allen

    (University of Westminster)

Abstract

Inspired by actual parcel delivery operations in London, this paper describes a two-echelon distribution system that combines the use of driving and walking as part of last-mile deliveries in urban areas for a single driver. The paper presents an optimisation model that explicitly treats and integrates the driving and walking elements, and describes a branch-and-cut algorithm that uses new valid inequalities specifically tailored for the problem at hand. Computational results based on real instances obtained from a courier operating in London are presented to show the performance of the algorithm.

Suggested Citation

  • Antonio Martinez-Sykora & Fraser McLeod & Carlos Lamas-Fernandez & Tolga Bektaş & Tom Cherrett & Julian Allen, 2020. "Optimised solutions to the last-mile delivery problem in London using a combination of walking and driving," Annals of Operations Research, Springer, vol. 295(2), pages 645-693, December.
    • Handle: RePEc:spr:annopr:v:295:y:2020:i:2:d:10.1007_s10479-020-03781-8
    DOI: 10.1007/s10479-020-03781-8
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    References listed on IDEAS

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    1. Thu Ba T. Nguyê˜n & Tolga Bektaş & Tom J. Cherrett & Fraser N. McLeod & Julian Allen & Oliver Bates & Marzena Piotrowska & Maja Piecyk & Adrian Friday & Sarah Wise, 2019. "Optimising parcel deliveries in London using dual-mode routing," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 70(6), pages 998-1010, June.
    2. Coindreau, Marc-Antoine & Gallay, Olivier & Zufferey, Nicolas, 2019. "Vehicle routing with transportable resources: Using carpooling and walking for on-site services," European Journal of Operational Research, Elsevier, vol. 279(3), pages 996-1010.
    3. Laetitia Dablanc & Eléonora Morganti & Niklas Arvidsson & Johan Woxenius & Michael Browne & Neila Saidi, 2017. "The Rise of On-Demand 'Instant Deliveries' in European Cities," Post-Print hal-01589316, HAL.
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    Cited by:

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    2. Reed, Sara & Campbell, Ann Melissa & Thomas, Barrett W., 2024. "Does parking matter? The impact of parking time on last-mile delivery optimization," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 181(C).
    3. Le Colleter, Théo & Dumez, Dorian & Lehuédé, Fabien & Péton, Olivier, 2023. "Small and large neighborhood search for the park-and-loop routing problem with parking selection," European Journal of Operational Research, Elsevier, vol. 308(3), pages 1233-1248.
    4. Muriel, Juan E. & Zhang, Lele & Fransoo, Jan C. & Villegas, Juan G., 2024. "A reinforcement learning framework for improving parking decisions in last-mile delivery," Other publications TiSEM b3811dad-50fa-486b-8255-3, Tilburg University, School of Economics and Management.
    5. Bayliss, Christopher & Bektaş, Tolga & Tjon-Soei-Len, Vernon & Rohner, Remo, 2023. "Designing a multi-modal and variable-echelon delivery system for last-mile logistics," European Journal of Operational Research, Elsevier, vol. 307(2), pages 645-662.
    6. Francesco Ciardiello & Andrea Genovese & Shucheng Luo & Antonino Sgalambro, 2023. "A game-theoretic multi-stakeholder model for cost allocation in urban consolidation centres," Annals of Operations Research, Springer, vol. 324(1), pages 663-686, May.

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