Driven by equipment health index, enables intelligent equipment management and maintenance, improves equipment management efficiency and equipment performance, builds green smart factories.
1. Traditional equipment management methods cannot adapt to enterprise digitalization needs.
2. Low efficiency and poor effectiveness in enterprise equipment management.
3. Uncontrollable equipment status, many data silos, low data usage efficiency.
4. High equipment operation, maintenance, and spare parts costs.
Achieve closed-loop from equipment monitoring to health trend diagnosis, automatic alarm, and maintenance work order processing.
Achieve consistent monitoring from equipment conditions to process data, synchronously improve equipment efficiency and product yield rate.
Achieve digital equipment management, improve equipment performance by 8%, reduce equipment operation and maintenance costs by 20%, essentially improve Overall Equipment Efficiency (OEE).
Build an integrated equipment data application system, enhance enterprise data application value.
Achieve intelligent equipment operation and maintenance, management transparency improves equipment efficiency, reduces abnormal downtime, lowers maintenance costs.
Remote operation and maintenance, diagnosis, accurate spare parts prediction, enhance user experience, expand after-sales service business models.
Digital factory integrated delivery, more professional equipment management solutions, open API integration and cooperation models.
Intelligent equipment work order dispatching, accurate inventory management, achieve parts prediction, sales, value-added services.
Client: Semiconductor
Effect: The panel factory implemented GETECH Equipment Health Management product. Through real-time collection of key equipment process parameters such as on-site pumps, robotic arms, chlorine concentration, frame glue pressure, real-time monitoring of key equipment parameters, equipment fault prediction models, introduction of equipment ledger, mobile maintenance operations, spare parts shared management, multi-factor data analysis tools, etc., engineers can self-analyze and model equipment data. Through automatic equipment monitoring, trend monitoring, predictive modeling, etc., reduced abnormal downtime; improved process stability; lowered spare parts costs.
Client: 3C Electronics
Effect: The electronics factory implemented GETECH Equipment Health Management product. Achieved data collection from over 300 key equipment, environmental data monitoring, equipment health maintenance management. Through automatic warnings, assisted repairs, improved maintenance response efficiency, reduced abnormal downtime by approximately 40%, reduced MTTR by about 25%, accelerated line changeover time by about 30%.
Client: Equipment Manufacturer
Effect: Beijing Kangjisen is an invisible champion in safety control systems for the petrochemical industry. By implementing EHM equipment health management based on industrial internet, achieved remote monitoring, fault diagnosis, intelligent operation and maintenance, transparent delivery, online training, etc. for equipment and control systems sold by Kangjisen. Under normalized pandemic conditions, safeguarded the safe operation of petrochemical industry units. Achieved remote equipment operation, maintenance, and diagnosis, accurate spare parts prediction, enhanced user experience, reduced service costs, expanded after-sales service business models.
