Unlocking Manufacturing Potential: Human In The Loop for Real-Time Insights in Electric Mobility Components Production

In the realm of electric mobility components production, harnessing the power of human knowledge alongside machine learning (ML) systems is pivotal for enhancing reliability. Traditional ML systems often lack the nuanced understanding provided by domain experts. Shifting from the conventional reliance on ML experts, our approach involves domain experts supervising and interoperating the ML-driven process, ensuring a more insightful analysis. Our generic solution utilizes smart factory analytics, offering a comprehensive approach to detecting complex manufacturing issues. Data is processed into ML-compatible formats, empowering domain experts with an intuitive user interface mirroring the production line. Cutting-edge feature selection algorithms assist in identifying crucial features. This enables informed decision-making in real-time, fostering a proactive approach to manufacturing challenges. The heart of our solution lies in an analyzing framework where domain experts can intuitively detect patterns and create rules for issue detection. Alerts generated are easily saved, applied, and monitored in real-time, facilitating a swift response to manufacturing anomalies. Our solution thus offers real-time data integration for responsive manufacturing, shifting to domain expert supervision and thus democratizing the decision-making.