|
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. |