The Value of Smart Factory Data
In smart factories, large volumes of data are generated from various sources including equipment sensors, MES, and ERP systems. Systematic analysis of this data can uncover hidden inefficiencies and maximize productivity.
Data Sources
Key Analysis Metrics
OEE (Overall Equipment Effectiveness)
Six Major Loss Analysis
Quantify the six major losses that reduce equipment efficiency (breakdowns, setup, speed reduction, minor stoppages, defects, and yield losses) to derive improvement priorities.
Building an Analytics Platform
Data Collection Layer
Collect equipment data in real time via OPC-UA and MQTT, and store it in a time-series database such as InfluxDB.
Analytics Layer
Cleanse the collected data and apply statistical analysis and machine learning models to derive insights.
Visualization Layer
Provide real-time KPI monitoring and drill-down analysis through dashboards.
Case Study
Results from deploying a production data analytics system at a food manufacturing company:
Conclusion
Data-driven decision making is the key to smart factory success. Maximize your production efficiency with POLYGLOTSOFT's IoT Gateway and data analytics platform.