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Monday, February 25 • 9:00am - 4:00pm
Statistical Design of Experiement DOE

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Why attend this class?

Course Purpose:
To provide chemists in the coatings industry with the knowledge and skills to apply statistical design of experiments in formulation and product development.  Save time and money with more efficient experimentation.
Course Description:
This hands-on two-day course provides an introduction to the theory and practice of statistical design of experiments (DOE) through application to real-world examples. Types of designs and appropriate choice of design for specific problems, setting up and executing designed experiments in a cost and time-effective manner, and data analysis through graphical and statistical test methodologies are introduced through lectures and activities.  Statistical software methodologies are demonstrated for the design and analysis of contemporary product development problems.  
The course is designed to provide practical knowledge of the value and appropriate use of statistical design of experiments (DoE) and the ability to implement DoE in the workplace. Instructors have over 20 years of experience in use of DoE in the polymer industry.  This two day course will include lectures, hands-on activities, practical examples, development of experimental designs using Minitab software, and data analysis.  Students will receive pre-loaded data drives with notes and worked examples.  At the end of the course, students will be able to design full factorial, fractional factorial experiments, mixture designs, recognize when to use different types of designs, analyze results in Minitab, and make recommendations for next steps.  These skills are useful for development of new products, redesign of products, problem solving, and issue resolution.   The final afternoon session will provide individualized help and instruction on design projects and alternate types of designs.

Course Outline:
·         Introduction to Design of Experiments (DoE) – Advantages and Capabilities
·         Types of Data – Continuous and Attribute
·         Selecting the Design Matrix
·         Identifying Important Quality Characteristics
·         Full Factorial Design
·         Fractional Factorial Design
·         Mixture Design
·         Choosing the Appropriate Design
·         Designing Experiments and Analyzing Results in Minitab
·         Individual Help on Design Projects and Other Types of Designs

Course Requirements:
Each student must bring a laptop computer to class with Minitab 18 pre-loaded (30 day free trial or the full version of Minitab 18).
Who Should Attend:
The course is designed for coatings chemists, formulators, and product developers interested in improving efficiency and effectiveness of the design process.

Short Course Instructors
avatar for Les Goff

Les Goff

Founder and President, Goff Consulting, LLC
Six Sigma Master Black BeltDr. Les Goff is founder and President of Goff Consulting, that was established in 2004. He was formerly the President of Noetic Technologies, Inc. an early stage technology and commercialization company. He worked 16 years with GE in various roles, Product... Read More →
avatar for Sarah Morgan

Sarah Morgan

Professor of Polymer Science, The University of Southern Mississippi
Six Sigma Master Black Belt, Dr. Sarah Morgan is a Professor in the School of Polymers and Engineering at The University of Southern Mississippi. She joined The University in 2002 after a fourteen year career in industrial R&D. Her expertise is in the area of polymer surfaces and... Read More →

Monday February 25, 2019 9:00am - 4:00pm CST
Astor - 2nd Floor Mezzanine Level - Bourbon

Attendees (2)