Smart Method for Self-Organization in Last-Mile Parcel Delivery

Journal Article (2020)
Author(s)

J. H.R. Van Duin (TU Delft - Transport and Logistics, Rotterdam University of Applied Sciences)

T.S. Vlot (Movares, Utrecht)

Lóránt Antal Tavaszzy (TU Delft - Transport and Planning, TU Delft - Transport and Logistics)

Mark Duinkerken (TU Delft - Transport Engineering and Logistics)

Bernd van Dijk (Prime Vision)

Research Group
Transport and Logistics
Copyright
© 2020 Ron van Duin, T.S. Vlot, Lorant Tavasszy, M.B. Duinkerken, Bernd van Dijk
DOI related publication
https://doi.org/10.1177/0361198120976062
More Info
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Publication Year
2020
Language
English
Copyright
© 2020 Ron van Duin, T.S. Vlot, Lorant Tavasszy, M.B. Duinkerken, Bernd van Dijk
Research Group
Transport and Logistics
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.@en
Issue number
4
Volume number
2675
Pages (from-to)
260-270
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Abstract

Parcel delivery operators experience an increasing pressure to meet the strongly growing demand for delivery services, while protecting city livability and the environment. Improving the performance of the last mile of delivery is considered key in meeting this challenge as it forms the most inefficient, expensive, and environmentally unfriendly part of delivery operations. A primary cause is a significant duplication of service areas, resulting in redundant vehicle kilometers traveled. In this paper, a new method is presented that allows for the allocation of parcels to delivery vehicles and construction of vehicle routes in real time through an auctioning system. These tasks are performed in a self-organizing manner by vehicles, parcels, and a supporting platform, to allow for collaborative and intermodal delivery. The performance of this new method is tested and compared against the currently used techniques using an agent-based simulation model. The new method manages to greatly improve the efficiency, robustness, and flexibility of delivery operations.

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