Powered by an AI-driven Equipment Health Index, this solution enables predictive and intelligent equipment management across high-tech manufacturing environments. It enhances maintenance efficiency, maximizes equipment performance and uptime, and supports the development of sustainable, green smart factories through data-driven decision-making.
1. Traditional equipment management methods cannot support enterprise digitalization needs.
2. Low efficiency and poor effectiveness in enterprise equipment management.
3. Unpredictable equipment status, numerous data silos, low data utilization efficiency
4. High equipment operation, maintenance and spare parts costs.
Enable closed-loop from equipment monitoring to health trend analysis, automatic alerts and maintenance work order execution.
Enable unified monitoring across equipment conditions and process data, improving equipment efficiency and product yield simultaneously.
Enable digital equipment management, boost equipment performance by 8%, reduce operation and maintenance costs by 20%, and significantly improve Overall Equipment Effectiveness (OEE).
Develop an integrated equipment data platform to maximize enterprise data value and utilization.
Enable intelligent equipment operations and maintenance, enhance management transparency, improve equipment efficiency, reduce abnormal downtime and lower maintenance costs.
Enable remote operations and diagnostics, accurate spare parts forecasting, enhance user experience, and expand after-sales service models.
Integrated digital factory delivery with advanced equipment management solutions, supported by open API integration and collaborative partnership models.
Intelligent equipment work order scheduling, precise inventory management, enabling parts forecasting, sales optimization and value-added services.
Client: Semiconductor
Results: The panel manufacturer deployed GTRONTEC's Equipment Health Management solution to enhance equipment visibility and reliability. By integrating real-time data collection from critical process parameters such as pumps, robotic arms, chlorine concentration and frame glue pressure. The system enables continuous monitoring and predictive fault modeling. With features including equipment asset management, mobile maintenance workflows, shared spare parts management, and multi-factor data analytics, engineers are empowered to independently analyze and model equipment performance. Through automated monitoring, trend analysis, and predictive insights, the solution effectively reduces unplanned downtime, improves process stability and lowers spare parts costs.
Client: 3C Electronics
Results: The electronics manufacturer deployed GTRONTEC’s Equipment Health Management solution, enabling data integration across more than 300 critical assets, along with environmental monitoring and structured equipment health management. Leveraging automated alerts and assisted maintenance workflows, the system improves response efficiency, reduces abnormal downtime by approximately 40%, lowers MTTR by around 25%, and accelerates line changeover time by about 30%.
Client: Equipment Manufacturer
Results: Beijing Kangjisen, a leading provider of safety control systems in the petrochemical industry, implemented an Industrial Internet–based EHM (Equipment Health Management) solution to transform its service capabilities. The platform enables remote monitoring, fault diagnosis, intelligent operations and maintenance, transparent project delivery and online training for deployed equipment and control systems. Under normalized pandemic conditions, the solution ensured the safe and stable operation of petrochemical facilities. By enabling remote equipment operations, maintenance, and diagnostics, along with accurate spare parts forecasting, Kangjisen enhanced customer experience, reduced service costs and expanded its after-sales service business model.
