Modern DOE for Process Optimization

**Distance Learning version**

Use State-of-the-Art DOE Tools to Make Breakthrough Improvements and Optimize the Final Results

This 15-hour workshop on factorial and response surface methods is a "light" version of our in-person 3-day (24-hour) workshop.

This Modern DOE course brings new insights into one fast-paced course! Find out how to make breakthrough improvements using powerful design of experiments (DOE) techniques. Start by learning about using factorial designs for finding which factors you need to focus on. Discover previously unknown interactions that often prove to be the key to success. Learn how to best use modern small-run designs to save time and money experimenting. Transition from factorials to response surface methods to optimize your products and processes. Tie all of this together by learning how to use powerful ANOVA analysis methods that give you confidence in your findings.

Apply Tried and True Techniques

This workshop covers the practical aspects of DOE. (Students may purchase the optional DOE Simplified book for reference.) You learn all about simple but powerful two-level factorial designs. During this DOE workshop, you will discover how to effectively:

• Understand the motivation for factorial designs
• Implement the DOE planning process
• Interpret analysis of variance (ANOVA)
• Discover hidden interactions
• Capitalize on efficient small-run fractional designs for screening or characterization
• Use power to properly size designs
• Determine when to use transformations
• Explore multilevel categoric factors
• Follow the strategy of experimentation from screening to response surface methods
• Set up central composite (CCD) and optimal designs
• Select appropriate regression models
• Optimize multiple responses

Simulations Provide Practice

Use Design-Expert® software to practice designing and analyzing experiments throughout the workshop. The software provides easy-to-use graphical tools to find key variables and view results. You will be given all simulation and data files used in class.