Advances in Drone Applications for Last-Mile Delivery Operations

A special issue of Drones (ISSN 2504-446X). This special issue belongs to the section "Innovative Urban Mobility".

Deadline for manuscript submissions: 30 June 2026 | Viewed by 430

Special Issue Editors


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Guest Editor
School of Air Transport and Logistics, Korea Aerospace University, Goyangsi 412-791, Republic of Korea
Interests: IoT-based logistics systems; smart logistics; UAV-assisted logistics

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Guest Editor
Department of Industrial Engineering, Seoul National University, Seoul 08826, Republic of Korea
Interests: production planning and control; supply chain management; logistics management
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
School of Industrial and Management Engineering, Korea University, Seoul 02841, Republic of Korea
Interests: supply chain management; trans-portation planning; manufacturing logistics; revenue management
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
School of Industrial Management Engineering, Korea University, Seoul 02841, Republic of Korea
Interests: interfaces between supply chain management (SCM) and information technology (IT); urban logistics and intelligent transportation systems (ITSs); e-commerce; healthcare management; internet of things and its applications
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The increasing use of drones for logistics is reshaping the way goods are transported and delivered. Among these emerging applications, last-mile delivery represents one of the most promising yet challenging frontiers.

It addresses the most complex segment of the supply chain where efficiency, speed, and sustainability are most critical. The rapid growth of e-commerce, healthcare logistics, and urban delivery services has accelerated interest in drone-based solutions capable of overcoming traffic congestion and reducing carbon emissions.

Despite significant advances in drone hardware and autonomous flight control, major challenges remain in realizing reliable and scalable last-mile operations. These include route optimization, packaging and payload, energy management, drone station and storage integration (e.g., Automated Storage and Retrieval Systems, AS/RSs), insurance and risk assessment, and regulatory compliance for urban airspace. Furthermore, the convergence of AI-driven planning, digital twins, and multi-modal logistics coordination is opening new frontiers for intelligent and sustainable drone logistics systems.

The aim of this Special Issue is to collect original research articles and review papers that provide insights into the latest scientific and technological advances in drone-based last-mile delivery. The scope aligns closely with Drones, which emphasizes UAV development, applications, sensing, control, and integration into society and industry.

This Special Issue will welcome manuscripts that link the following themes:

  • Route and fleet optimization for last-mile drone delivery;
  • AI-based dispatching, scheduling, and real-time control algorithms;
  • Multi-modal logistics systems combining drones with ground vehicles;
  • Design and operation of drone stations, hubs, and AS/RS integration;
  • Applications to disaster or emergency management;
  • Regulatory, economic, and environmental impact assessments;
  • Energy management, battery modeling, and endurance optimization;
  • Payload design, packaging, and goods protection mechanisms;
  • Insurance and safety management;
  • Demonstration cases and pilot implementations of drone delivery.

We look forward to receiving your original research articles and reviews.

Prof. Dr. Yoon Seok Chang
Prof. Dr. Ilkyeong Moon
Prof. Dr. Chulung Lee
Prof. Dr. Taesu Cheong
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Drones is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • drone delivery
  • last-mile logistics
  • (AI-based) planning & scheduling 
  • AS/RS integration
  • Packaging 
  • payload management 
  • energy efficiency 
  • insurance
  • sustainability

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Published Papers (1 paper)

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Research

23 pages, 3027 KB  
Article
Enhancing Access to Cancer Diagnostics with Drone Delivery of PET Isotopes: The Significance of Weather and Clinical Workflows
by Karl Arne Johannessen, Paul G. Royall, Anders Mjøs, Thor Audun Saga and Mona-Elisabeth R. Revheim
Drones 2026, 10(3), 202; https://doi.org/10.3390/drones10030202 - 13 Mar 2026
Viewed by 356
Abstract
The short half-life of positron emission tomography (PET) radioisotopes makes transport time a critical factor in medical logistics. While drones have demonstrated advantages in short-range medical deliveries, the feasibility and benefits of long-distance drone transport remain largely unexplored. In a comparative simulation-based modelling [...] Read more.
The short half-life of positron emission tomography (PET) radioisotopes makes transport time a critical factor in medical logistics. While drones have demonstrated advantages in short-range medical deliveries, the feasibility and benefits of long-distance drone transport remain largely unexplored. In a comparative simulation-based modelling framework, this study explores whether long-range drone transport (117–376 km) can improve delivery performance of fluorodeoxyglucose-18 ([18F]FDG) PET isotopes compared with two existing ground-only routes (146 km and 348 km) and two combined car–airplane routes (532 km and 546 km). Simulated transport times, radioactive decay losses, and economic implications were estimated using drone speeds of 150, 200, and 250 km/h. Hourly weather data from 2023–2024 were incorporated to model flight feasibility and weather-related no-fly conditions. Time savings were translated into preserved radioactive activity and analyzed together with break-even transport costs. A drone speed of 150 km/h provided limited benefit, whereas speeds of 200–250 km/h preserved activity corresponding to a reduction from the current total use of 118 GBq to 72 and 65 GBq, respectively. Weather constraints reduced feasible winter flights by up to 30%. Estimated break-even drone costs ranged from EUR 3–18/km and increased to EUR 14–20/km when accounting for preserved isotopes, corresponding to annual economic gains of EUR 1.0–1.7 million. These results suggest that long-range drone transport could reduce isotope losses and improve diagnostic capacity, although feasibility depends on drone costs, weather resilience, and integration into clinical logistics systems. Full article
(This article belongs to the Special Issue Advances in Drone Applications for Last-Mile Delivery Operations)
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