This 3-day workshop on factorial and response surface methods combines the topics and 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.
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:
"Practical. Good mix of theory and application." —Chris Easter, Metallurgist
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, along with a free fully-functional, but time-limited, copy of Design-Expert software for use after class.
"Gives you the 'hands-on' that puts it all together." —Matt Hanken, Senior Manufacturing Engineer
Section 1—Introduction to Factorial Design
Section 2—Enhancements for Design and Analysis of Factorials
Section 3—Blocking and Fractionating Factorials
Section 4—Small Factorial Designs
Section 5—Multilevel Categoric Design
Section 6—Split-Plot Designs
Section 7—Factorial with Center Points and RSM Introduction
Section 1—Response Surface Methods - Central Composite Designs
Section 2—Response Surface Optimization and Confirmation
Section 3—Response Surface Designs
Section 4—Optimal Design
Section 5—Mixture Overview and Next Steps
Section 6—Appendix: Split-Plot Design for RSM (as time allows)
Knowledge of basic statistics (mean and standard deviation), and exposure to simple comparative experiments (e.g. two-sample t-test) are recommended. To refresh these skills and review basic concepts and terminology, please take the online PreDOE course prior to the workshop. It takes 2-3 hours to complete. You can work at your own pace. Access the PreDOE here.
If you do not complete the PreDOE, and are not familiar with Design-Expert software, then please download a trial of Design-Expert software (if you do not already have access to it) and work through the first tutorial: One Factor - Bowling, found in the Help system.
PDHs: 24 (equals 2.4 CEUs)
Workshop location details will be provided with your confirmation letter, which you will receive once the minimum enrollment requirements are met.
Recommended Texts and Software
Purchase the recommended text or software at the time of registration to receive a 20% discount.