As a member of Minitab’s technical support team, I get the opportunity to work with many people using design of experiments (DOE).

People often will call after they’ve already chosen their design, run the experiment, and identified the important factors in their process. But now what? They have to find the best settings, but with several factors and responses. What should they do?

“I wish I had a magic wand,” they sometimes say. If you do, too, you’ve come to the right place.

In this article, I will show you how to use the Response Optimizer to let Minitab Statistical Software work its magic to find the best settings for your response(s).

Suppose your factors are time, temperature, and catalyst. Your responses are yield (you want to maximize it) and cost (which you want to minimize).

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