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Integration of Unmanned Technologies into Logistics Problems
Martynyuk Serhiy 1 , Sydora Mykhailo 2
1 Department of Algebra and Informatics, Yuriy Fedkovych Chernivtsi National University, Chernivtsi, 58000, Ukraine
2 Department of Aplied Mathematics and Information Technologies, Yuriy Fedkovych Chernivtsi National University, Chernivtsi, 58000, Ukraine
Keywords: UAV, drone, last-mile delivery, route optimization, mathematical model, hybrid delivery
Abstract

The paper considers the integration of unmanned aerial vehicles (UAVs, drones) into last-mile delivery. Key differences between drones and conventional road transport (speed, near-straight trajectories, payload and range constraints, etc.) and their impact on delivery strategies are discussed. A generalized mathematical model of an integrated truck--drone delivery system is proposed, allowing one truck to launch drone(s) to serve a subset of customers. The model accounts for limited drone range and payload, different speeds of aerial and ground transport, and operational constraints (e.g., return requirement). A comparative experiment for three scenarios (truck only, drones only, and hybrid truck+drone) shows that under favorable conditions drones can significantly reduce completion time due to parallel operation. The conditions under which drones are most beneficial and when conventional truck delivery dominates are highlighted.

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Paper Received 11/19/2025
Paper Accepted 2/6/2026
Published Online 2/8/2026
Cite
ACS Style
Martynyuk, S.; Sydora , M. Integration of Unmanned Technologies into Logistics Problems. Bukovinian Mathematical Journal. 2026, 14 https://doi.org/https://doi.org/10.31861/bmj2026.01.05
AMA Style
Martynyuk S, Sydora M. Integration of Unmanned Technologies into Logistics Problems. Bukovinian Mathematical Journal. 2026; 14(1). https://doi.org/https://doi.org/10.31861/bmj2026.01.05
Chicago/Turabian Style
Serhiy Martynyuk, Mykhailo Sydora . 2026. "Integration of Unmanned Technologies into Logistics Problems". Bukovinian Mathematical Journal. 14 no. 1. https://doi.org/https://doi.org/10.31861/bmj2026.01.05
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