Complex DOE Constraints

NimaHojat — Thu, 20 Jun 2024 18:37:08 GMT

Hi everyone,

I'm working on a DOE involving four chemicals (A, B, C, and D) and need to set constraints where the components are relative to each other. Here are the specific constraints:

A can’t be more than 27.4% of B
C can’t be higher than 3% of (D + B)
D should be less than 25% of B
The total should equal 100%

Is it possible to enter these constraints in JMP? If so, how can I set this up?

Thanks in advance for your help!

Re: Complex DOE Constraints

Victor_G — Fri, 21 Jun 2024 09:21:08 GMT

Hi @NimaHojat,

Welcome in the Community !

To better understand how to set up factors constraints like the one you want, I would highly recommend reading the great article @Jed_Campbell wrote about constraints :

Concerning your specific use case and based on the limited information available, it seems you're doing a mixture design (since you are more interested about ratios/relative quantities, your total sum of the components being equal to 100% / 1).

You can use Custom Designs to create your specific mixture design with the constraints :

Specify your response and mixture factors A, B, C, D :
After clicking on "Continue", you can set up your constraints in the panel "Define Factor Constraints" and the option "Specify Linear Constraints". Your constraints can be expressed after a short transformation as :
1. A can't be more than 27,4% of B :
```
1 * :A + -0.274 * :B <= 0
```
2. C can’t be higher than 3% of (D + B) :
```
-0.03 * :B + 1 * :C + -0.03 * :d :D <= 0
```
3. D should be less than 25% of B :
```
-0.25 * :B + 1 * :d <= 0
```
4. Last constraint is already taken into account when setting this DoE as a Mixture design : A+B+C+D = 1 (100%)
  Note: Sorry, for some reasons the JSL code is not working in the JMP Community when writing ":D" for the column corresponding to factor D, so I used ":d" instead. But it is the mixture factor D, not someting else, so it should be noted ":D" if you note this factor as "D".
You can set up these constraints directly in the panel, specify the assumed model (I just choose a main effect mixture model for illustration here) and choose an according number of runs for your objective (I just stayed with the default recommended number of runs here) :

You can then create your design, and if needed you can check your constraints have been respected by creating formula in your data table corresponding to the ratios/comparison you have between your mixture factors :

Here is the script to reproduce the design shown here :

DOE(
	Custom Design,
	{Add Response( Maximize, "Y", ., ., . ), Add Factor( Mixture, 0, 1, "A", 0 ),
	Add Factor( Mixture, 0, 1, "B", 0 ), Add Factor( Mixture, 0, 1, "C", 0 ),
	Add Factor( Mixture, 0, 1, "D", 0 ), Set Random Seed( 1982181060 ),
	Number of Starts( 49914 ), Add Constraint(
		[1 -0.274 0 0 0, 0 -0.03 1 -0.03 0, 0 -0.25 0 1 0]
	), Add Term( {1, 1} ), Add Term( {2, 1} ), Add Term( {3, 1} ),
	Add Term( {4, 1} ), Add Alias Term( {1, 1}, {2, 1} ),
	Add Alias Term( {1, 1}, {3, 1} ), Add Alias Term( {1, 1}, {4, 1} ),
	Add Alias Term( {2, 1}, {3, 1} ), Add Alias Term( {2, 1}, {4, 1} ),
	Add Alias Term( {3, 1}, {4, 1} ), Set Sample Size( 10 ), Simulate Responses( 0 ),
	Save X Matrix( 0 ), Make Design, Set Run Order( Randomize ), Make Table}
)

And I attach the datatable with the design used for illustration here if you're more familiar with this than JSL script.

I hope this answer will help you,

Re: Complex DOE Constraints

NimaHojat — Mon, 01 Jul 2024 08:06:14 GMT

Thank you Victor, that's really useful :)

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