Enabling same-day delivery using a drone resupply model with transshipment points
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10287_2023_Article_453.pdf
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Author(s)
Moshref-Javadi, Mohammad
Van Cauwenberghe, Kristof P.
McCunney, Brent A.
Hemmati, Ahmad
Date Issued
May 8, 2023
Publisher
Springer Berlin Heidelberg
Citation
Computational Management Science. 2023 May 08;20(1):22
Version
Final published version
Abstract
Abstract
We study a hybrid logistics delivery model which incorporates trucks and drones. In this model, named the Drone Resupply Model with Transshipment Points (DRMTP), drones are used to resupply transshipment points where trucks visit to pick up packages for delivery to customers. A simulation model is developed to simulate the delivery operations. The model is evaluated in two case studies in an urban area and a suburban area in Massachusetts, USA. Using this resupply model, the average delivery time is reduced compared to the conventional truck-only delivery model. The experimental results in the suburban region show that the DRMTP model with one transshipment point achieves 36% lower delivery time compared to the truck-only model. In the urban region, the model with four transshipment points obtains 66% delivery time reduction compared to the truck-only model. The results indicate that the proposed model can be used to enhance the efficiency of the last-mile delivery operations.
MIT Department
Massachusetts Institute of Technology. Center for Transportation & Logistics
Terms of Use
Creative Commons Attribution
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1007/s10287-023-00453-3
