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.

14 material feed uniformity by 25–30%, reduces temperature deviation in the mold by 10–15%, and shortens the production cycle time by 12–18%. An important aspect of automation is its integration into the overall production control system. The application of Internet of Things (IoT) technologies and SCADA systems enables centralized data collection and analysis, improving process controllability, allowing rapid response to deviations, and ensuring effective quality control. Automation also facilitates the transition to the concept of Smart Manufacturing , where production equipment is united into a digital network capable of independently analyzing process conditions, predicting failures, and optimizing operation modes [3, p. 167]. Such approaches align with Industry 4.0 trends focused on flexibility, adaptability, and resource efficiency in production. For footwear industry enterprises, the implementation of automated systems ensures a significant increase in technological reliability, reduction of defects, improvement of working conditions for personnel, and enhancement of product competitiveness. The development and practical implementation of the automated fiber-feeding system for molds confirm that even partial automation of individual technological operations can lead to a substantial increase in labor productivity and product quality stability. Conclusions. Automation of technological processes is a key factor in improving industrial production efficiency. Its implementation contributes to optimizing resource utilization, shortening production cycles, reducing costs, and enhancing product quality. The use of automated systems in the footwear industry- particularly fiber-feeding systems for molds-opens new opportunities for developing the industry based on the principles of intelligent manufacturing. Further research should focus on improving control algorithms, developing digital twins of technological processes, and increasing the level of integration of automated systems within enterprise structures.