What is desirability in JMP?
JMP allows a piece-wise linear model for the desirability function. The analyst can drag any of the 3 data points to get the shape of the function that is desired, recalling that a desirability of 1 is most desirable. Using an Alt-Click on the graph will bring up a dialog for more precise movement of the points.
What is prediction profiler in JMP?
The prediction profiler in JMP displays the conditional relationship between Y and a given predictor, given the level selected of the other predictors, whereas the main effects plot from Minitab is essentially ignoring the other factors and displaying the average relationship between Y and a given predictor.
Which is true for Box Behnken design?
The Box-Behnken design is an independent quadratic design in that it does not contain an embedded factorial or fractional factorial design. In this design the treatment combinations are at the midpoints of edges of the process space and at the center.
When to use the desirability function approach?
The desirability function approach is one of the most widely used methods in industry for the optimization of multiple response processes. It is based on the idea that the “quality” of a product or process that has multiple quality characteristics, with one of them outside of some “desired” limits, is completely unacceptable.
How is the desirability of a response determined?
The method makes use of an objective function, D (X), called the desirability function. It reflects the desirable ranges for each response (di). The desirable ranges are from zero to one (least to most desirable, respectively).
How is individual desirability calculated in MINITAB?
Minitab’s Response Optimizer calculates individual desirability using a desirability function (also called utility transfer function). You select a weight (from 0.1 to 10) to determine how much to emphasize obtaining the target value.
Which is the desirability function for target is best?
A useful class of desirability functions was proposed by Derringer and Suich (1980). Let Li, Uiand Tibe the lower, upper, and target values, respectively, that are desired for response Yi, with Li≤ Ti≤ Ui. Desirability function for “target is best” If a response is of the “target is best” kind, then its individual desirability function is