Multi-Response Optimizer
Use the desirability function approach to find the optimal processing conditions that satisfy multiple response goals simultaneously. The optimizer calculates the composite desirability (geometric mean of individual desirabilities) to determine the best trade-off between conflicting objectives.
Note: The optimizer automatically respects the
mixture design constraints (TOTAL = 100%).
Required Parameters: To ensure valid
results, you must provide the following thresholds based on your goal:
- Maximize: Requires Lower Bound (threshold) and Target Value.
- Minimize: Requires Upper Bound (threshold) and Target Value.
- Target: Requires Lower Bound, Upper Bound, and Target Value.