Industrial AI
  • Enhancing productivity and quality with big data and digital technologies
  • Real-time monitoring and integrated management of production lines

Diagram

AI_Asset
적용 사례1
• Limited digital transformation of the field due to connection with existing systems
• Design issues of complex equipment lines and low operational efficiency
• Inefficient data collection and management
• Lack of system scalability limits implementation of additional functions
• Unsystematic management of equipment status (operation/non-operation)
• Inefficient information delivery due to insufficient time factors (transparency, alarm display, etc.)
• Low intuitiveness and complex user interface
• Improving maintenance and operation efficiency by simplifying line design
• Strengthening data collection, alarm monitoring, and status management functions through X-SCADA
• Implementing user-required functions and equipment expansion through scalability-oriented design
• Designing UI to be intuitive and user-friendly to improve usability
• Enhancing visualization functions to improve information delivery
• Providing operational data in real time
• Big data transformation of field data through X-DAS introduction
• Realizing digital transformation with flexible integrated control and operation
• Increase in hourly production
• Increase in equipment operation rate
• Reduction in manufacturing lead time
• Reduction in process defect rate
• Reduction in quality defect cases
• Reduction in safety accident rate such as foreign substance contamination
• Improved safety of the working environment
• Increase in cost reduction rate
• Reduction in equipment downtime
• Reduction in inventory turnover and inventory costs
• Reduction in maintenance costs
• Real-time data collection and monitoring
• Manufacturing history traceability
• Increase in use cases of big data and AI analysis
• Data-driven decision making
Food&Beverage1
Food&Beverage2
Food&Beverage3