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On‐Time Meal Delivery Assisted by Drone Resupply

Wenqian Liu et al.

Naval Research Logistics2026https://doi.org/10.1002/nav.70061article
AJG 3ABDC B
Weight
0.50

What the paper says

ABSTRACT Ensuring timely delivery is crucial with the increasing competition in online meal delivery services. This requires the industry to adopt new technologies and the corresponding operational models, including the use of drones. Concerning the desired features of meal delivery, such as safety and reliability, we propose an operational model that incorporates the usage of drones into the current rider‐based delivery model. In our approach, known as drone resupply, drones transport meals from restaurants to riders, and riders then deliver them to customers. We aim to address two key issues when implementing this approach. First, at the operational level, models and algorithms are developed to effectively coordinate rider routing and drone scheduling. These algorithms are tailor‐made by leveraging the short routes in the meal delivery industry. Second, at the tactical planning level, we reveal managerial insights to aid meal delivery platforms in making informed decisions regarding the implementation of drone resupply solutions. Particularly, drone resupply proves to be more efficient than rider‐only mode across diverse order volumes and service ranges, and remains competitive when the promised delivery time is extended. The effectiveness of drone resupply is closely tied to the fleet configuration of riders and drones, as they have different yet complementary roles in achieving on‐time delivery. Additionally, restricting one single order per drone trip does not compromise the effectiveness of drone resupply delivery, but necessitates more demanding drone schedules.

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https://doi.org/https://doi.org/10.1002/nav.70061

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@article{wenqian2026,
  title        = {{On‐Time Meal Delivery Assisted by Drone Resupply}},
  author       = {Wenqian Liu et al.},
  journal      = {Naval Research Logistics},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1002/nav.70061},
}

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On‐Time Meal Delivery Assisted by Drone Resupply

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.