Abstract

This article addresses the pressing scientific and practical problem of determining the optimal composition of UAV-based reconnaissance and strike complexes, as traditional approaches often neglect the critical impact of logistical factors. It is substantiated that in modern high-intensity conflicts, logistics (encompassing maintenance, maintainability, transport support, and resource management) becomes a decisive factor in the combat capability of these systems. Underestimating its role leads to preventable equipment attrition and a reduced operational tempo.

A comprehensive methodological approach is proposed based on a multi-criteria optimization mathematical model, which formalizes the decision-making process. The model minimizes a weighted objective function that integrates three key criteria: delivery time, total costs, and the risk of technical failure. The optimization is performed under realistic operational and logistical constraints, such as flight range, transport payload capacity, deployment time, and the minimum required resource reserves. The practical application of this approach is demonstrated through a comparative analysis of three typical configurations: minimal, balanced, and maximum-effectiveness.

It was determined that the optimal composition between combat effectiveness, cost, and logistical capabilities is achieved with a system composition of 5 or 6 UAVs, two technicians, and a sufficient battery reserve. This configuration allows for the mitigation of risks to an acceptable level of 0.15-0.2, while avoiding the excessive costs associated with further scaling.

The findings of this work prove the necessity of viewing logistics not as an auxiliary function, but as an integral component of the combat capability of reconnaissance and strike complexes. Prospects for further research are outlined, including the integration of dynamic factors (weather conditions, enemy countermeasures) into the model and its adaptation for creating combined systems.

Keywords: reconnaissance and strike complexes, unmanned aerial vehicles, logistics, optimal composition, maintenance, technical failure risk, transport support.

FULL TEXT (in Ukrainian)

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The article was submitted 01.12.2025

© Semenenko, O.M., Korkin, O.Yu., Slyusarenko, M.O., Tverdokhlib, Ye.M., Zarytskyi, O.I., 2025