Mixture Design for Optimal Formulations


“By far the best DOE class I have had." —Chemist, MIX Graduate

The Recipe for Success

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

Ingredients for Efficient Experimentation

During the Mixture Design for Optimal Formulations workshop you will:

  • Discover what defines a mixture experiment
  • Set up simplex designs
  • Augment and evaluate design quality
  • Select appropriate mixture models
  • Generate contour plots in triangular space
  • Design for constrained mixture variables
  • Optimize product formulas
  • Combine mixture and process variables
  • Improve process understanding with mixture-amount and mixture-categoric designs
“Great class!” —Principal Scientist, MIX Graduate

Produce Contour Maps in Mixture Space

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.

Day 1

Section 1 – Introduction to Mixtures

  • What makes a mixture?
  • Mixture (Scheffé) polynomials
  • Simplex-Lattice designs: Media

Lunch

Section 2 – Constrained Mixtures, Simplex

  • Blocking a simplex design: Olive Oil
  • ABS pipe
    • Coding: Actual – Real – L_Pseudo
    • Analysis and model reduction
    • Optimization
      • Numeric (desirability function)
      • Graphical (overlay plot)

Section 3 – Constrained Mixtures, Non-Simplex

  • Sizing for precision
  • Constrained mixtures: Extreme vertices
  • Optimal point selection: Hydrophilic tablet
  • Transformations & equation only: Antiseptic

Day 2

Section 4 – Multicomponent Linear Constraints

  • MLC primer
  • Group constraints: Fruit punch
  • Ratio constraints: Stability

Section 5 – Screening Components

  • Simplex: Gasoline additives
  • Non-simplex screening designs
    • Non-simplex screening exercise

Section 6 – Combining Mixture and Process Variables

  • Combined designs
    • Fish patties (background)
    • Fish patties (optimal design)

Lunch

Section 7 – Special Mixture and Process Problems

  • KCV model: Combining mixture and process variables
    • Background
    • Example (3 Mixture +2 Process)
  • Mixture amount experiments: Ibuprofen
  • Mixtures with categoric factors: Composite material
  • Summary (what was learned)
    • DOE support & next steps

Section 8 – Combining Mixture and Process Variables as Split-Plots
(optional material as time allows)

  • Combined split-plot designs
    • Reverse phase HPLC (split plot - process HTC)
    • Sweet Potato Chips (split plot - mixture HTC)

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 software at the time of registration to receive a 20% discount. Formulation Simplified text may be purchased at a 20% discount in conjunction with the workshop registration. Other recommended texts may be purchased from your favorite bookseller.

This class is available as a private on-site workshop.

Request a quote today - call our Lead Client Specialist at 612.746.2030 or e-mail workshops@statease.com.

Public Workshops

2020

Mixture Design for Optimal Formulations
Cleveland, OH
April 1 - 2
Mixture Design for Optimal Formulations
Minneapolis, MN
July 15 - 16