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Officers’ Improvement School (Escola de Aperfeiçoamento de Oficiais – EsAO), Duque de Caxias Avenue, 2071, Rio de Janeiro-RJ, Brazil

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1 Papers

Aerial Logistics in Hard-to-Reach Environments: Systematic Review of the Use of Class 1 UAVs in Health Supply Distribution in Military Operations and Other Context

Topics: Conceptual Modeling; Performance Analysis; Robotics, Automation and Mechatronics; Security and Military; Intelligent Transportation

Authors: Rodrigo Bomfim , Pablo Pochmann and Eduardo Neves

Affiliation: Officers’ Improvement School (Escola de Aperfeiçoamento de Oficiais – EsAO), Duque de Caxias Avenue, 2071, Rio de Janeiro-RJ, Brazil

Digital Object Identifier: 10.5220/0013461400003970

Proceedings of SIMULTECH 2025, ISBN: 978-989-758-759-7

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This study examines the potential integration of Class 1 Unmanned Aerial Vehicles (UAVs) into the COMBATER simulation software, emphasizing their role in healthcare logistics within challenging environments such as jungles and remote areas. A systematic literature review was conducted following PRISMA guidelines, supported by the TREND quality assessment checklist. The analysis identified critical operational parameters for UAV performance, including flight endurance, range, maximum speed, operational altitude, and cargo capacity. These parameters were categorized by UAV class—Mini (<15 kg) and Small (>15 kg)—to align with military doctrine and operational needs. The findings indicate that Mini drones are ideal for unit-level operations, transporting lightweight items like medications and medical supplies, while small drones are suited for brigade-level missions requiring the delivery of heavier and more complex materials, such as blood products and human organs. Limitations include the heterogeneity of studies, the lack of detailed meteorological data, and inconsistent reporting standards. To address these challenges, the study highlights the importance of constructive simulation in testing UAV applications and refining their integration into military operations. By incorporating UAV-specific data into COMBATER, this research contributes to realistic scenario modelling, supporting military decision-making and advancing logistical efficiency. The proposed framework provides a foundation for the strategic use of UAVs in military healthcare logistics, offering insights into the development of military doctrine and the optimization of operations in complex environments.