Paint, salad dressing, soap. What do they have in common? They are all mixtures. In order to optimize a mixture, you must change the proportions of the ingredients or components while keeping the total mass or volume the same. If this sounds like a system you are working with, watch this video to learn how to create and analyze Mixture DOEs.
Q&A / Discussion
Big thanks to @Victor_G for help with the Q&A!
Q: What modeling techniques can we use doe Mixture DOE?
A: In a model-specified mixture design, linear regression models will test the specified model effects and make acceptable models. In model-agnostic mixture designs, machine-learning modeling methods (Neural Networks, SVM, Gaussian Process) may also be quite helpful.
Q: How did you create the cost column?
A: The cost column is a simple column formula that sums up the cost for each component (saved as a table variable) multiplied by the proportion of that component in the mixture.
Q: How to set a screening mixture Design in Custom Design
A: Create a Custom Design and add the Mixture factors and the range for each factor in the formulation. For a Screening Design, you may only be interested in Main Effects, which is the default setting for this. If you want to look for non-linear blending terms, you will need to add interactions to the model.
Q: How we can plot 4 or 5 component mixtures/formulations?
A: When you add more than three variables to the Ternary Plot, you will get a scatterplot of Ternary Plots. These plots will be arranged so that two axes are two different variables, and the third axis is the sum of all the other components.
Q: Can you use a Definitive Screening Design for mixtures?
A: If you have true Mixture factors, then you cannot use a DSD. However, if your formulation components are truly independent, you can use a DSD.
