I'm a beginner with JMP.
Objective of my study is to find out optimized choice cards to the commuter under different scenarios. I have identified 3 alternatives (option A, B, C) with 4 attributes each namely, CC, TTS, DTD and PLR.
For option A : (arranged from worst to best)
CC - 3 levels (70,60,50)
TTS - 3 levels (5,10,15)
DTD1 - 2 levels (20,10)
PLR1 - 3 levels (10,20,30)
For option B : (arranged from worst to best)
DTD2 - 4 levels (-20,-10,10,20)
PLR2 - 3 levels (10,20,30)
For option C : (arranged from worst to best)
DTD3 - 4 levels (-20,-10,10,20)
PLR3 - 3 levels (-30,-20,-10)
As from the above identified factors and levels - My combinations turns out to be - 3*3*2*3*4*3*4*3 = 7776. Which is very high for creating profiles and I need to d optimize the choice cards.
I wanted to do DOE with these factors and levels in order to create significant choice cards. But I'm unable to understand which design method I should opt for. Kindly help me out.
There is also an optimal choice design platform in JMP that might suit your purpose. It is also explained in the same guide that @txnelson referred to.
First off, I suggest that you read the "DOE Guide" from the JMP Documentation Library that was installed on your computer when JMP was installed.
Help==>JMP Documentation Library
There you will find that D-Optimal designs are handled in Custom Design
Open
DOE==>Custom Design
And then under the red triangle options you will find
An easy way to have found the path to the D-Optimal design is through the Statistics Index in JMP. If you go to
Help==>Statistics Index
and scroll down to, or click on the selections and type in D-Optimal you will find
