AI-based Process Optimization for Cost Reduction in Belt Manufacturing

In the era of Industry 4.0, manufacturing processes are undergoing a profound transformation through the use of artificial intelligence (AI). This research project, conducted in cooperation with Forbo Siegling GmbH, is dedicated to developing an innovative AI solution for process optimization in belt manufacturing.

The project aims to develop an assistance system based on the intelligent integration of existing expert knowledge and machine parameter data. The system will continuously monitor production and proactively interact with machine operators. By capturing and analyzing production data in real time, the AI provides valuable insights into product quality. Based on this analysis, the system generates recommendations for adjusting machine parameters to optimize product quality during the manufacturing process. This innovative application of AI in industrial production promises not only a significant increase in production efficiency, but also a substantial improvement in product quality. The interaction between AI and on-site experts is crucial to unlocking the full potential of the technology and ensuring seamless knowledge transfer. The vision is to create a system that goes beyond automated optimization processes by integrating the in-depth expertise of employees and supporting them in their decision-making.

This project contributes to the creation of an intelligent production environment in which humans and machines work together synergistically to meet the challenges of modern manufacturing.