Total Production Equipment Management System

TPMS (Total Production Management System) is a smart factory solution tailored for manufacturing clients. It enables effective monitoring, control, analysis, and optimization of production equipment operations—enhancing equipment availability, efficiency, and quality.

By reducing equipment failures, downtime, and maintenance costs, TPMS supports Total Productive Maintenance (TPM), helping factories achieve comprehensive equipment performance management and operational excellence.
System Features
Equipment Management / Predictive Maintenance
The system adjusts equipment settings based on real-time conditions to optimize performance. It also supports predictive maintenance by detecting potential faults early and scheduling timely repairs to extend equipment life.
Equipment Optimization Function
The system analyzes data to recommend improvements that boost utilization, efficiency, and quality while reducing energy use and waste. It also supports simulation and verification to ensure ongoing optimization.
Quick Deployment
TPMS supports various equipment types and brands, integrating easily with new or legacy systems to enable seamless digitalization and connectivity.
Real-Time Equipment Data
Using IoT, AI, and big data, the system collects and analyzes real-time equipment data—like output, energy use, and temperature—presented through clear dashboards and accessible on any device.
Pain Points and Benefits
Lack of Operational Transparency
  • Low production efficiency
  • Inconsistent product quality
  • Customer dissatisfaction
Real-Time Monitoring
Data Analysis
  1. Implement the TPMS system to enable real-time monitoring and gain clear visibility into equipment operating status.
  2. Establish a real-time alert mechanism to quickly respond to equipment issues.
  3. Leverage data analysis to perform predictive maintenance, improving production efficiency, product quality stability, and overall customer satisfaction.
Outdated equipment management
  • No Access to Equipment Data
  • Hard to optimize operations
  • No Access to Equipment Data
Predictive Maintenance
Data Analysis
Real-Time Monitoring
  1. Automatically collects and analyzes data.
  2. Provides real-time equipment status.
  3. Intelligently optimizes performance and reduces costs.
Passive equipment maintenance
  • Unpredictable Failures
  • Extended downtime
  • ncreased maintenance costs
Predictive Maintenance
Data Analysis
Real-Time Monitoring
  1. Achieve real-time monitoring and data analysis to provide a comprehensive view of equipment status.
  2. The predictive maintenance system flexibly adjusts schedules, enabling early detection and prevention of potential failures.
  3. Real-time monitoring and analytics minimize downtime, reduce maintenance costs, and extend equipment lifespan.



Efficiency Improvement
Real-time equipment monitoring enables data-driven process optimization, boosting efficiency and lowering costs.
Failure Prediction and Prevention
By analyzing data, potential failures can be predicted and preventive maintenance applied to reduce downtime and improve stability.
Resource Maximization
TPMS optimizes each device to run at its best, maximizing resource use and boosting efficiency.