Geoff Vining
Associate Professor
Department of Statistics
University of Florida
E-mail Address: vining@stat.ufl.edu
Web Address: http://www.stat.ufl.edu/~vining
Phone: (352) 392-1941 x204
Fax: (352) 392-5175
Address: Department of Statistics
103 Griffin-Floyd Hall
University of Florida
Gainesville, Florida 32611-8545

Title: The Dual Response Alternative to Robust Parameter Design
Duration: 1 hour seminar
Audience: Statisticians and engineers familiar with robust parameter design.
Abstract: This talk outlines the dual response approach to the robust parameter design problem. It discusses current developments and refinements to this approach. Examples illustrate the methodologies.
Honorarium: Not expected.

Title: Statistical Alternatives to Taguchi's Robust Parameter Design
Duration: 1 day shortcourse
Audience: Industrial statisticians and process engineers who have some background in the basics of experimental design and analysis.
Abstract: This course outlines two common statistical alternatives to Taguchi's robust parameter design: the combined array and the dual response methodology. The course first outlines the basic idea of the combined array and then illustrates how one can generate separate models for the process mean and the process variance. It outlines appropriate methods for jointly optimizing the two. Next, the course outlines in detail the dual response approach. It illustrates how one can reduce the overall design size if a first-order model for the process variance is appropriate. Practical examples illustrate all of these methods.
Honorarium: Expected, amount is negotiable

Title: Fundamentals of Experimental Design for Quality Improvement
Duration: 1 day shortcourse
Audience: Process Engineers who need some background in the basics of experimental design and analysis.
Abstract: This course introduces engineers to factorial and fractional factorial designs. These techniques are illustrated through the use of a catapult.
Honorarium: Expected, amount is negotiable.

Title: An Introduction to Response Surface Methodology
Duration: 1 Day shortcourse
Audience: Industrial statisticians and process engineers familiar with factorial and fractional factorial experiments.
Abstract: This course introduces students to a sequential philosophy of experimentation. Topics covered include: screening experiments, path of steepest ascent, the central composite design, Box-Behnken design, optimizing a second-order response surface, and dealing with multiple responses.
Honorarium: Expected, amount is negotiable.