The Laboratory for System Health & Risk Management lead by Professor Byeng Dong Youn of Department of Mechanical Engineering at Seoul National University participated in the K-Artificial Intelligence Manufacturing Data Analysis Contest held from November 23rd to December 3rd, 2021 and won the grand prize (Minister of SMEs and Startups), Excellence Award (Smart Manufacturing Innovation Promotion Team), and Encouragement Award (KAIST K-Industry 4.0 Promotion Headquarters Award).

This contest is a contest to develop an artificial intelligence (AI) analysis model to solve or improve common problems that small and medium-sized manufacturing companies may face by using the manufacturing AI dataset registered in the Artificial Intelligence Small and Medium Venture Manufacturing Platform (KAMP). In this competition, Professor Yoon's lab team, “RK3” team, won the grand prize, “Team-Hybrid” team won the Excellence Award, and “Cube J.” team won the Encouragement Award.

This year, the first competition, the participants directly identified the problems of the manufacturing site and suggested solutions by using the injection molding machine manufacturing AI data. The “RK3” team developed an AI-based injection molding quality anomaly diagnosis and process optimization technology in consideration of class imbalance, and the “Team-Hybrid” team developed a data-based engineering decision-making method that considered important factors related to molding quality in the injection molding operation. The “Cubd J.” team developed an environmental and dependent variable-based yield prediction model for manufacturing efficiency management.

Regarding this award, Professor Yoon said, “Using real injection molding machine manufacturing AI data rather than data acquired in a laboratory unit, we can solve problems that small and medium-sized manufacturers may face by combining AI-based PHM technology with engineering domain knowledge.”