(Хмельницький національний університет, 2025-01) Goroshko, Andrii; Zembytska, Maryna
The study focuses on solving inverse problems to ensure a specified level of quality for complex technical systems by determining permissible values of primary factors through multi-criteria optimization. The authors propose methods to overcome challenges in mathematical modeling, statistical data processing, and solution stability, critical for ensuring system reliability. The proposed approaches are demonstrated through real-world applications, such as ensuring the operability of an aircraft transponder, enhancing the reliability of electronic components, and optimizing rotor balancing processes. These methods provide a universal framework for solving design, manufacturing, and operational tasks in various engineering fields.