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In a manufacturing process, the entire process is usually subdivided into multiple interconnected sub-processes, each of which is a functional group by itself. In each functional group, enormous amount of data is collected in real time from day-to-day operation. However, hardly any of the data is being processed and analyzed to render meaning information facilitating guideline or decision support for the manufacturing operation and control. This project aims at providing innovative Production Intelligence (PI) solutions by discovering valuable trends/patterns hidden in these massive databases.

The technology could be used for: 
- Root cause analysis
- Diagnostics
- Plant monitoring
- Prediction
- Online operation control
- Plant optimization, and ultimately, reduce the design and operation cost.

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