With a real-time data-driven production planning optimization system, limited resources
(equipment, manpower, and raw materials) are efficiently allocated to automatically generate the optimal production schedule. Dynamic planning enables rapid response to sudden market changes and urgent orders.

A digital twin that perfectly replicates the actual production site, synchronized in real-time through IoT sensors. Simulate various scenarios before actual operations to determine optimal strategies, and maximize equipment uptime through predictive maintenance.

Using AI-based computer vision technology, products, components, and defective items on the production line are automatically identified in real-time. Overcoming the limitations of visual inspection,it accurately detects even the smallest defects and automatically collects quality data to enhance the quality management system.