Dynamic Design Space Exploration Tool
Process design space must be defined in order to achieve process understanding in QbD. When design space is defined for a particular process, it is typically encapsulated in a multidimensional model that quantitatively relates the values of critical process parameters to a critical-to-quality attribute. Exploring, analyzing and communicating the scope and consequence of such a design space is critical to process understanding and presents a formidable challenge. Inference modelExplorer addresses this challenge.
Inference modelExplorer enables interactive visualization through dynamic displays of design space models, which the user can manipulate in real time to perform “what if” experiments. By changing the integrated and dynamic settings of critical process parameters, while viewing them within modelExplorer design space display, users can continuously explore the consequences that such changes have on critical-to-quality attributes.
Inference modelExplorer is specifically designed for enabling process understanding through QbD. As such, it possesses the following advanced features:
- Interactive viewing. Dynamically customize views through zooming, scaling and rotation by simply dragging the mouse on the graph.
- Visual display choices. Select from surface, bar (zones), or contour charts.
- Transparent data plotting. Make data appear transparent, leaving the chart area behind the data visible.
- Simultaneous display of two critical-to-quality attributes. Simultaneous “what if” experiments on two critical-to-quality attributes provide deep understanding of design space. This can be achieved in modelExplorer using a four dimensional chart capability where elevation plotting and surface contours are comprised of different data.
- Simultaneous viewing of multiple complementary perspectives. Most insights on the effects of critical process parameters on critical-to-quality attributes are gained from comparison. Accordingly, modelExplorer is capable of rendering dynamic global changes to critical process parameters within multiple views on the same screen.