Modern DOE for Process Optimization

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

This comprehensive Modern DOE course is a case-study based workshop spanning factorial to response surface designs in one stop. 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. Use your resources efficiently with modern small-run designs that 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.

**Offered via Distance Learning (DL) **

Apply Tried and True Techniques

This workshop covers the practical aspects of DOE. 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 and precision 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 with model reduction
• Optimize multiple responses

Simulations Provide Practice

Use Design-Expert® or Stat-Ease® 360 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.