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Complex DOE Constraints

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 +
• 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!

Design of ExperimentsRe: Complex DOE Constraints

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 : Demystifying Factor 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 :

1. Specify your response and mixture factors A, B, C, D :
   
2. 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</CODE></PRE>
      </LI>
      <LI>C can’t be higher than 3% of (D + B) :&nbsp;<BR />
      <PRE>-0.03 * :B + 1 * :C + -0.03 * :d :D</img> <= 0</PRE>
      </LI>
      <LI>D should be less than 25% of B :<BR />
      <PRE>-0.25 * :B + 1 * :d <= 0</PRE>
      </LI>
      <LI>Last constraint is already taken into account when setting this DoE as a Mixture design : A+B+C+D = 1 (100%)<BR />Note: Sorry, for some reasons the JSL code is not working 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".<BR /><BR /></LI>
      </OL>
      </LI>
      <LI>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) :<BR /><SPAN class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Victor_G_1-1718953672423.png" style="width: 400px;"><SPAN class="lia-inline-image-display-wrapper" image-alt="Victor_G_1-1718953672423.png" style="width: 315px;"><span class="lia-inline-image-display-wrapper" image-alt="Victor_G_1-1718953672423.png" style="width: 315px;"><img src="https://us.v-cdn.net/6038925/uploads/images/65481i03A985FC426F9F6B/Victor_G_1-1718953672423.png" role="button" title="Victor_G_1-1718953672423.png" alt="Victor_G_1-1718953672423.png" /></span></SPAN></SPAN></LI>
      </OL>
      <P>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 :</P>
      <P><SPAN class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Victor_G_2-1718953842819.png" style="width: 400px;"><SPAN class="lia-inline-image-display-wrapper" image-alt="Victor_G_2-1718953842819.png" style="width: 400px;"><span class="lia-inline-image-display-wrapper" image-alt="Victor_G_2-1718953842819.png" style="width: 400px;"><img src="https://us.v-cdn.net/6038925/uploads/images/65482iD26D9D299388456D/Victor_G_2-1718953842819.png" role="button" title="Victor_G_2-1718953842819.png" alt="Victor_G_2-1718953842819.png" /></span></SPAN></SPAN></P>
      <P>&nbsp;</P>
      <P>Here is the script to reproduce the design shown here :</P>
      <PRE><CODE class=" language-jsl">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

Thank you Victor, that's really useful