In this 2-day workshop, find out how to identify your critical quality characteristics using powerful design of experiments (DOE) techniques. Two-level factorial designs keep things simple 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 use powerful ANOVA analysis methods that give you confidence in your findings.
Experiment Design Made Easy covers the practical aspects of DOE. (Students may purchase the optional "DOE Simplified" book for reference.) During this introductory 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 has an intuitive top-down and left to right interface for analysis. It provides easy-to-use graphical tools to identify key variables and view results.
"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
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: 16 (equals 1.6 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.
Early Bird deadline Sep 14, 2020.
Our core 2-day workshop focuses on factorial designs used to identify key factors and interactions in your system.
Please also consider the Distance Learning Modern DOE for Process Optimization course.San Jose, CA