Example of a response optimization experiment for mixture design
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The compound normally used to make a plastic pipe is made of two materials: Material A and Material B. As a research engineer, you would like to determine whether or not a filler can be added to the existing formulation and still satisfy certain physical property requirements. You would like to include as much filler in the formulation as possible and still satisfy the response specifications. The pipe must meet the following specifications:

·    impact strength must be greater than 1ft-lb / in

·    deflection temperature must be greater than 190° F

·    yield strength must be greater than 5000 psi

Using an augmented simplex centroid design, you collected data and are now going to optimize on three responses: impact strength (Impact), deflection temperature (Temp), and yield strength (Strength).

1    Open the worksheet MIXOPT.MTW. (The design, response data, and model information have been saved for you. The data are from [1].)

2    Choose Stat > DOE > Mixture > Response Optimizer.

3    Click to move Impact, Temp, and Strength to Selected.

4    Under Model Fitted in, choose Pseudocomponents.

5    Click Setup. Complete the Goal, Lower, Target, and Upper columns of the table as shown below:

Response

Goal

Lower

Target

Upper

Impact

Maximize

1

3

 

Temp

Maximize

190

200

 

Strength

Maximize

5000

5200

 

6    Click OK in each dialog box.

Session Window Output

Response Optimization

 

 

Parameters

 

          Goal     Lower  Target  Upper  Weight  Import

Impact    Maximum      1       3      3       1       1

Temp      Maximum    190     200    200       1       1

Strength  Maximum   5000    5200   5200       1       1

 

 

Global Solution

 

 

Components

 

Mat-A    =   0.45

Mat-B    =   0.55

Filler   =      0

 

 

Predicted Responses

 

Impact     =      6.04  ,   desirability =   1.000000

Temp       =    213.19  ,   desirability =   1.000000

Strength   =   6045.18  ,   desirability =   1.000000

 

 

Composite Desirability = 1.000000

Graph Window Output

Interpreting the results

In most cases, Minitab uses the units that are displayed in the worksheet for the numerical optimization and optimization plot results. However, if you have a design that is displayed in amounts and you have multiple total amounts, the components are displayed in proportions for both the numerical optimization and the optimization plot results. In this example, the results are displayed in proportions.

The individual desirabilities and the combined or composite desirability of the three response variables are 1.0. The gray regions on the graph indicates factor settings where at least one response has zero desirability.

To obtain this composite desirability, you would set the mixture component proportions at the values shown under Global Solution in the Session window output. The proportions of the three ingredients in the formulation used to make the plastic pipe would be: 0.45 of Mat-A; 0.55 of Mat-B, and 0.0 of Filler. The predicted responses for the formulation are: impact strength = 6.0366, deflection temperature = 213.1919, and yield strength = 6045.1810. These predicted responses indicate that the physical property specifications of the plastic pipe have been met.

However, the objective of the experiment is to include as much filler in the formulation as possible and still satisfy the response specifications. Although you have satisfied the response specifications, the resulting formulation does not include any filler. You can move the vertical bars to change the component proportions and see whether or not you can add more filler and still satisfy the specifications.

In the plot below, filler has been locked at .14 and the vertical bars have been moved to determine the proportions of a formulation with lower desirability, but one that still meets the required specifications. You can continue to change the formulation until you find a combination of proportions that fit your needs.