Software-oriented training - Design-Expert®

The following Design-Expert courses are offered:

 

Getting started with Design-Expert®


Course objective
This course will give you a jump start in the use of Design-Expert®.

Prior knowledge
This course is mainly intended for people who know at least the basics of Design of Experiments and want to get familiar with one of the most powerful of all DOE packages.


Course set-up
This half-day training is completely hands-on.

Pricing

This course is free for customers who purchased Design-Expert from StatSquare (industrial licenses only).

 

Experiment Design Made Easy


Identify the Vital Few Effects—Make Breakthrough Improvements

Find out how to make breakthrough improvements using powerful design of experiments (DOE) techniques. Statsquare puts it all together for you in a computer-intensive series of DOE workshops. Try out your skills along the way with realistic simulations. Start with our Experiment Design Made Easy workshop to learn efficient methods for finding which factors you need to focus on. Discover previously unknown interactions. These often prove to be the key to success. Learn how to use powerful statistical methods that give you confidence in your findings.

Apply Tried and True Techniques

Experiment Design Made Easy 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 introductory DOE workshop, you will discover how to effectively:

  • Implement the DOE Planning Process
  • Augment low-resolution designs
  • Interpret analysis of variance (ANOVA)
  • Discover hidden interactions
  • Exploit efficient fractional designs
  • Screen variables to find the vital few, even in the presence of active interactions
  • Determine when to use transformations
  • Explore categorical factors with general factorials

Choose the Best Strategy

The "Experiment Design Made Easy" workshop helps you plan your DOE by selecting the appropriate designs. It guides you through your experiment and strategical analysis.

Simulations Provide Practice

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 a path to all simulation and data files used in class, which are posted to a special Internet site where you can also link to a free fully-functional, but time-limited, copy of Design-Expert software for use after class.


Prerequisites

Math skills and knowledge of basic statistics are recommended.

 

 

Mixture Design for Optimal Formulations

The Recipe for Success

If you do product formulation, then standard factorial designs just don't work. You need the mixture designs taught in Mixture Design for Optimal Formulations to experiment most effectively.



Develop statistical models of product performance. Then use response surface methods to identify the "sweet spot" where all specifications can be achieved.

Ingredients for Efficient Experimentation
During the Mixture Design for Optimal Formulations workshop you will:

  • 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
  • Screen mixture components


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 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.

Prerequisites

Prior knowledge of DOE, and of elementary statistics and analysis of variance is recommended.

Guest lecturer

Trainer of this course is Pat Whitcomb, the founding principal and president of Stat-Ease, Inc.. 

Pat Whitcomb co-authored Design-Ease® and Design-Expert® software.  In addition, Pat is co-author of the books, "DOE Simplified: Practical Tools for Effective Experimentation" and "RSM Simplified: Optimizing Processes Using Response Surface Methods for Design of Experiments," and has published many articles on design of experiments (DOE).


Advanced Formulations: Combining Mixture and Process Variables

State-of-the-Art Tools

In this advanced workshop, learn state-of-the-art tools for design and analysis of experiments on mixtures, and how to incorporate process variables. In the end you will know how to mix your cake, bake it, and ice it too using optimal designs.


Seven blends (on triangles) at eight process combinations (cube)


Ingredients for Efficient Experimentation
During the Advanced Formulations workshop you will:

  • Set up optimal designs that combine mixture components and process factors
  • Learn how to deal with both mixture composition and the amount applied
  • Contend with categoric variables, such as material type
  • Combine one mixture with another (frosting on the cake)
  • Map mixtures to process space via ratios, thus enabling application of factorials and response surface methods (RSM)
  • Become expert on innovative mixture models such as the partial quadratic
  • Understand when it is advantageous to invert the mixture space via re-coding of components to upper-bounding
  • Learn why the metrics for mixtures, for example by weight vs. volume, make a difference in the properties of the design.

Produce Contour Maps that Display Both Mixture and Process Space
Design-Expert® software helps you practice designing and analyzing mixture-process and other combined experiments throughout the workshop. The software provides the power for generation of optimal designs, as well as sophisticated numerical optimization tools for seeking out the sweet spots.

Prerequisites

Prior knowledge of the basics of mixture design is a prerequisite.

 

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