Manufacturing Successes
        
Performance Prediction
 
 
Mission:
Improve process stability through accelerated quality feedback.

Challenge:
A key process is out of control.  Delays in quality test results were hampering good control.

Solution:
Process Intellect with on-line quality and product performance prediction.

 
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Objective
A large chemical manufacturer was challenged with a process that was modestly in control.  Even though they were equipped with an excellent distributed control system, process stability was elusive.  Quality test results, a key driver for operators, took 25-30 minutes to compute.  It was theorized that obtaining these results faster would aid the operators and improve process stability.

The Methods
BioComp engineers came on site and familiarized themselves with the process.  Flows of materials, process control points and information in and out of the process were identified, much like a mass and energy balance.  Data was collected on these attributes from the local process and quality management systems.  This data was modeled extensively using BioComp's iUnderstand to demonstrate the feasibility of predicting quality on-line.

Results
The iUnderstand analysis identified that there was not only a lag in quality results, but also a two-hour lag in the process.  These lags were potentially contributing to untimely process adjustments by the operators.  A Process Intellect system has been installed to manage and report estimated quality parameters to operators within seconds rather than 30 minutes to an hour.

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