Which Functional Forms for Desirability JMP use to maximize, minimize and reach target for a response?I was simultaneously optimizing my output response variables against input factors, and using desirability approach. Meanwhile, I was going through the documentation provided by JMP to know which piece-wise functional forms (like piece-wise functions proposed by Derringer and Suich (1980)) JMP use to optimize the desirability, but I only got the overall desirability function (Geometric mean). Can anyone tell which piece-wise function JMP use to maximize and minimize a desirability? Also for target. Are these the same as Derringer and Suich (1980) proposed? Because in JMP's documentation, it is clearly mentioned that "JMP does not use the Derringer and Suich (1980) functional forms. Because they are not smooth, they do not always work well with JMP’s optimization algorithm"
Quality and Process EngineeringRe: Which Functional Forms for Desirability JMP use to maximize, minimize and reach target for a response?According to the documentation:
Optimization Algorithm
The method used for optimization of the overall desirability function, or of the single desirability function if there is only one response, depends on the factor types.
•For categorical factors, a coordinate exchange algorithm is used.
•For continuous factors, a gradient descent algorithm is used.
•In the presence of constraints or mixture factors, a Wolfe reduced-gradient approach is used.
•To reduce the risk of finding local optima, JMP uses multiple random starts.
Re: Which Functional Forms for Desirability JMP use to maximize, minimize and reach target for a response?Did you get the answer to this question? I have the same doubt too.
