Manufacturing System Analytics

We apply advanced analytics such as statistical analysis, predictive modeling, and machine learning to derive insights for optimizing manufacturing processes.

Research topics

• Intelligent manufacturing systems for product design and optimization
• Health prediction and management through root-cause analysis of anomalies in manufacturing processes
• AI prediction models for reducing and monitoring pollutant emissions in manufacturing
• Domain-specific conversational language models for manufacturing process optimization
• Digital twin systems for product design and improvement based on multimodal generative models

Representative projects

"Simultaneous reduction of NOx and fine dust and smart operation technology for ferroalloy electric furnace sites" (Ministry of Environment, Industrial Fine Dust Program)

Partners

POSCO, Research Institute of Industrial Science & Technology (RIST), and others