Response Surfaces, Mixtures, and Model Building

Factorial experiments are often used in factor screening.; that is, identify the subset of factors in a process or system that are of primary important to the response. Once the set of important factors are identified interest then usually turns to optimization; that is, what levels of the important factors produce the best values of the response. This course provides design and optimization tools to answer that questions using the response surface framework. Other related topics include desig

• Conduct experiments with computer models using regression
• Understand response surface methodology for optimization
• Apply response surface approach to mixture components
• Identify strategies to minimize variability from uncontrollable factors