CQAS Seminars

 

Process Improvement Using Designed Studies

 

In this highly interactive seminar, you will learn how to go beyond using control charts studying only one factor – such as time – to improve processes. The more complex your process, the greater benefit you can obtain by using designed studies, where several factors can be studied (e.g., operators, machines, batches). These relatively inexpensive studies are often used before formal experimental design approaches are considered. To make the approaches understandable and practical, we will use actual physical studies and simulations. 2.8 CEUs.

 

Topics include:

• The need for designed studies: the theory – data cycle
• Random/fixed and crossed/nested factors: a key to designing and
  analyzing designed studies
• Studying several processes simultaneously: the six-cavity mold
  example
• Gage repeatability and reproducibility: length of a critical dimension
  example
• Designed studies on production processes
• Creating confidence intervals – are estimates reasonable?
• More complex designed studies

 

Cost

 

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

 

Meet your instructor

 

Joseph G. Voelkel, Ph.D., is a Professor 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.