If you do product formulation, then standard factorial designs just don't work. You need mixture designs to experiment most effectively. When your work involves both changing the formulation and processing the product, mixture-process combined designs are the optimal tool for success. This 2-day interactive workshop will give you the skills you need to master formulation studies, from screening to optimization.
What if I don’t know whether I need this class?
We encourage you to read our free download, "A Primer on Mixture Design: What’s In It for Formulators?". This introductory text offers formulators modern insights into experimentation on formulations. Learn how mixture designs will meet your needs and produce better results than factorial designs.
“Software, documentation, help and presentations are uniformly excellent!” —Research Scientist, MIX Graduate
During the Mixture Design for Optimal Formulations workshop you will:
“Great class!” —Principal Scientist, MIX Graduate
Design-Expert® software helps you practice designing and analyzing mixture experiments throughout the workshop. The software provides the power for the generation of optimal designs, as well as sophisticated graphical outputs such as trace plots. You will learn how these methods work and what to look for.
This course will be run as four (4) half-day Zoom sessions - Monday - Thursday (9:00am - 12:30pm US Central Time) in the stated week. Sessions will be recorded in case of a missed session.
Course contents subject to change.
Section 1 – Introduction to Mixtures
Section 2 – Constrained Mixtures, Simplex
Section 3 – Constrained Mixtures, Non-Simplex
Section 4 – Multicomponent Linear Constraints
Section 5 – Screening Components
Section 6 – Combining Mixture and Process Variables
Section 7 – Special Mixture and Process Problems
It will be assumed that all students have completed the following prerequisites. This knowledge is essential for success in the course.
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: 12 (equals 1.2 CEUs)
This course will be held via Zoom Meetings. You will need to download the Zoom Cloud Meeting app prior to the first session.
Recommended Texts and Software
Purchase the recommended software at the time of registration to receive a 20% discount.