recommender system

Assembly Line

Smart operation recommender system digitalizing OT knowledge to improve productivity

📅 Date:

✍️ Author: Daisuke Yagi

🔖 Topics: recommender system

🏢 Organizations: Hitachi


To contribute to resilient manufacturing systems through digitalization, it will be important to connect physical phenomena, OT knowledge and sensor data in parallel with developing AI to analyze and learn from the data. My colleagues and I developed an operation recommender system that can discriminate factors contributing to defects and recommend appropriate countermeasures. We will continue developing the technology to resolve issues in manufacturing by considering different manufacturing processes.

Read more at Hitachi Industrial AI Blog