“The ROI for data analytics software is high: delivering reductions in waste and errors, advanced selection of chemicals and optimized processes and quality.”
Batch Modeling Provides the Solution
Historical data that characterizes your product or process is useful in creating an optimized process. This includes:
- yield and quality parameters
- start and end times
- pressure, temperature, flow rate and other physical units
- any other relevant variable recorded during the batch run
Visualize Variable Over Time
Plotting the multivariate variable t1 against time results in a trajectory for every historical batch, allowing to easily distinguish between good and bad batches. Good batches are within the two dotted red lines. The closer to the center line the trajectory is the better the results will be.
Contribution Plot Shows Deviation Cause
The contribution plot shows the deviating variable that drives the batch from its ideal trajectory. An important tool for root cause analysis.