Industrial AI
  • Boosting competitiveness and innovation via manufacturing digital transformation
  • Fast track to sustainability and resilience through tech convergence

Diagram

AI_Asset
적용 사례1
• Data disconnection between departments and limited real-time information sharing
• Distributed data by site and line makes integrated analysis difficult
• Outdated IT systems with poor scalability
• Insufficient real-time collection and analysis of field data such as equipment, production, and quality
• Lack of data accumulation and utilization
• Real-time information sharing through company-wide automation and integration
• Real-time collection and analysis of all field and management data
• Provision of predictive, optimized, and customized services based on big data and AI
• Establishment of flexible and scalable IT infrastructure
• Rapid response to changes through development tools and modular systems
• Real-time monitoring of all processes including equipment, production, quality, and logistics
• Activation of collaboration platforms and immediate response to issues
• Implementation of visible factories for real-time equipment and process control
• Transformation into smart manufacturing sites
• Improved productivity through advanced technology adoption
• Real-time data collection and analysis
• Standardized operations through process standardization
• Process automation and equipment improvement
• Real-time monitoring and data analysis
• Optimization of raw material and inventory management
• Design and process optimization
• Energy efficiency improvement
• Equipment management and preventive maintenance
• Flexible production planning and resource allocation
• Enhanced collaboration and communication
• Predictive analysis and scenario planning
• Real-time data-driven decision-making
적용 사례1
적용 사례2
적용 사례3