JMP is useful for statistical process control in a wide variety of industries. This example demonstrates how to control processes using pharmaceutical data for a process with 90 batches. Note: In this example, the Y variable is the solution, but of course, in another case the Y variable might be be yield, you could include yield in the model to maximize quality and production.
See how to create and interpret:
- Individual Control Chart that gives and overview of dissolution as a function of lots
- Process Capability Analysis to examine the capability of important parameters affecting the dissolution
- Measurement System Analysis to examine the impact of changing an apparatus on the Y variable, dissolution where two dissolution apparatus were compared
So when so, instead of having the solution. Probably you're looking at, yield or parameters impact on your yield, and then we will do the same work, for we will figure out which parameters are impacting our yield and tweak those set points instead.
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