Advanced Experimental Design (DOE) – Dr. J. Stuart Hunter and Dr. Lori Rothenberg
October 6-9, 2009 - Register now!

Course Description :

Six Sigma Black Belts and professionals with an understanding Design of Experiment fundamentals are encouraged to attend an advanced course in Experimental Design.

The course content is designed around the teaching of Dr. J. Stuart Hunter and his classic and recently updated textbook, Box, George E.P., J. Stuart Hunter, and William G. Hunter, Statistics for Experimenters: Design, Innovation, and Discovery , Second Edition, Wiley-Interscience, 2005, and the implementation of designed experiments in the Six Sigma Methodology.

Course content includes:

• Factorial Designs at Two Levels: Advantages of Experimental Design
• Fraction Factorial Designs: Economy in Experimentation
• Factorial Designs and Data Transformation
• Multiple Sources of Variation: Split Plot Designs, Variance components and Error Transmission
• Modeling Relationships, Sequential Assembly: Basics for Response Surface Methods
• Applications of Response Surface Methods
• Designing robust Products
• Evolutionary Process Operation

Participants will be encouraged to bring real problems to class. They will learn how to apply Experimental Design methods to address their specific industrial problems. Participants will use their DOE software to work illustrative problems and case studies to apply the methods presented.

Learning Objectives :

Each participant will:

• Learn advanced experimental design methods
• Apply DOE methods using their DOE software
• Develop experimental designs to study their specific industrial problems
• Convey fundamentals DOE concepts associates
  

Pre-requisites:

Familiar with design of experiments, specifically: full factorial, fractional factorial, and response surface methodology. We encourage students to bring in examples and case studies.

Software:

JMP 7.0 will be used for this course. However, Minitab can also be used for a limited portion of the course.

Instructors:

J. Stuart Hunter, “Stu”, is Professor Emeritus, School of Engineering, Princeton University. He has long been associated with both the theory and practice of experimental design. During the 1960’s and 70’s he was labeled the “johnny appleseed” of experimental design for his extensive lecturing and many short courses for industry. He is one of the co-authors of the classical text “Statistics for Experimenters”, the founding editor of the journal Technometrics, President of the American Statistical Association (1993), and was awarded the Shewhart (1970), Deming (1986) and Wilks US Army (1987) Medals. He is an Honorary Member of the American Society for Quality and in 2005 was elected a member of the National Academy of Engineering. His enthusiasm coupled with his knowledge of subject matter and audience make him a popular lecturer.

Dr. Lori Rothenberg is an extension specialist in Textiles Extension Education for Economic Development at North Carolina State University College of Textiles where she teaches six sigma courses. She has consulted for the transactional and manufacturing side of businesses from a variety of industries. Her recent work focused on the use of data mining methods in industry. She has a PhD from the University of North Carolina at Chapel Hill in Educational Psychology with a concentration in quantitative methods.