Proceedings of the International scientific and practical conference “Integrative science, technology and cultural development” (November 10-12, 2025) / Publisher website: www.naukainfo.com. – Barcelona, Spain, 2025. - 141 p.

13 without the implementation of automated systems that ensure precision, stability, and repeatability of technological operations. This is particularly relevant in industries where processes require high accuracy in material dosing, synchronization of mechanisms, and maintenance of temperature-time regimes. One of the priority directions is the automation of processes in light industry, especially in footwear manufacturing, where the efficiency and quality of finished products largely depend on the precision of technological operations during the formation of footwear components. Improving molding technologies, material feeding, and parameter control requires the development of new automated control systems. The automation of technological processes enables a shift from manual or semi-automatic control to comprehensive computer-based management, which reduces human error, shortens the production cycle, and improves product quality. Modern automation systems are built on microcontrollers, programmable logic controllers, sensor systems, pneumatic and electric drives, integrated into a unified monitoring and control system [2]. One promising direction is the development of automated material feeding systems. In footwear production-particularly in the manufacturing of polymer shoe soles-an important technological operation is the feeding of reinforcing fibers into the mold to ensure the required mechanical properties of the material. In traditional setups, this operation is performed manually or with semi-automatic devices, which reduces dosing accuracy and material uniformity [1, p. 87]. The developed automated fiber-feeding system for the mold ensures the stability of the reinforcement material supply through the use of electronic sensors that control speed, mass, and uniformity of fiber distribution. The system consists of feeding modules, flow sensors, actuators, a controller, and an operator panel for real- time process monitoring. The operation algorithm provides automatic feed regulation based on feedback signals, ensuring optimal correlation of technological parameters. System modeling was carried out in SolidWorks and MATLAB Simulink, which made it possible to analyze the influence of key technological parameters on fiber-feeding stability. The results showed that using the automated system increases