Operationally challenged, geometrically solved

 
 

Curvaceous Response Surface Visualiser (CRSV)                                           

 

Power to the Formulator

CRSV 2.0 allows Experimenters or Formulators to perform their own Response Surface Analysis at their workbench in a fraction of the time currently required.

It replaces the numerically intensive finding and interpretation of multi-variable regression equations describing the Response Surface with a simple visual method that anyone can use.

For the first time experimenters can see the complete set of relationships within their response surface with no maths knowledge necessary.

This technique is perfectly suited to Formulations / Design of Experiments (DOE) / Quality by Design (QbD) problems where the number of data points available is very small, perhaps as small as 8 to 10.

The ability to move values around and watch the effects on other parameters is invaluable.

Parameters needing further investigation can be quickly identified, thereby eliminating unnecessary trials and improving both Return on Investment and speed to market/trial.

The affect of changing parameter values and seeing the consequences opens up a new view on how to progress and where to focus within your process.

The Response Surface in this picture is a Design Space constructed from a set of 12 designed experiments. The experimental variables are on the left-most 9 axes and the result variables are on the right.

 The model has correctly deduced that the experimental variables are independent of each other so any value can be chosen from their entire range.

The user has begun to construct two Control Spaces in red and blue by fixing values for some of the experimental values. These are shown as solid dots.

The remaining values are now indicated to lie within the red or blue ranges. Moving a dot will show the changed ranges on all the other variables.

NEW CRSV Version 2.0 allows you to:

¨ See Design Space and Multiple Control Spaces at once

¨ Handle a lot more variables than before

¨ Use improved data file handling & variable naming

¨ Drag and drop variables (which you previously had to fix from left to right)

¨ Use a completely new rewritten user guide

¨ Use worked examples of the right set of data to gather

See all of the relationships within your response surface with Response Surface Visualiser.

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