CQAS Seminars

 

Design of Experiments (DOE)

 

Effective experimental design and analysis are critical in improving products and process, reducing waste, lowering costs, and improving productivity. This how-to seminar focuses on understanding the fundamental elements of experimental design and on the application of strategies. Numerous exercises are included and a statistical software package, Minitab®, is used for interpreting the results more efficiently and effectively. This seminar is highly interactive – it involves the design and analysis of physical studies, simulations and analyses of actual studies. 2.8 CEUs

 

Topics include:

• Strategy of experimentation
• Summarizing results: main effects and interactions
• Two-level designs for 3-5 factors: the 2^k designs
• Introduction to variation when conditions are held constant
• Randomizing and blocking
• Handling variation in two-level designs
• Nonreplicated experiments
• Selecting the correct number of runs
• The role of center points and their dangers
• Fractional factorial (2^k-p) designs: studying 5-15 factors or more simultaneously
• Fold-over designs
• Introduction to response-surface designs
• Case studies, simulations, physical experiments, numerous exercises

 

How you will benefit:

• Learn how to select the most effective design to answer questions about products or processes
• Find out how to maximize results while minimizing time and effort

 

Cost

 

$1,095. This cost includes continental breakfast and lunch each day.

 

Meet your instructor

 

Joseph G. Voelkel, Ph.D., is an Associate Professor and Graduate Program Chair in the Graduate Statistics Department at CQAS. Prior to this appointment, he was a statistical consultant for Allied-Signal Corporation, where his clients' concerns included chemicals, plastics, fibers, water-treatment polymers, and agricultural products. Since joining the faculty at RIT, his consulting and training has included clients from the films, optics, electronics, resin, plastics, automotive, laser, and bearing industries. His primary areas of expertise include experimental design, quality control and improvement, mixture experiments, reliability, and analysis of messy data. Dr. Voelkel received his BS in Mathematics from Rensselaer Polytechnic Institute, his MS in Industrial Engineering/Management Sciences from Northwestern University, and his Ph.D. in Statistics from University of Wisconsin, Madison. He is a fellow of the American Society for Quality, and a member of the American Statistical Association and the Institute of Mathematical Statistics. He also serves on the editorial board of Quality Engineering.