CQAS Seminars

 

Measurement Systems Analysis

 

Scientific and business decisions are questionable if they are based on data obtained using a measurement system that has not been well-studied, improved, and standardized. For this reason, measurement-system study is a requirement in programs such as Six Sigma and ISO 9000. In this seminar we will take you through, and then beyond, basic gage repeatability and reproducibility studies using many real examples and classroom exercises. We will use MINITAB®, a popular software package for statistical analysis, to perform standard measurement-system analyses. We will then go beyond these standard analyses to gain more insight for improving your measurement system.

 

You are encouraged to bring your own measurement-system data in a computer-readable format for inclusion in the course. 1.4 CEUs.

 

Topics include:

• Identifying an operational definition for your measurement method
• Determining if measurements are too coarse
• Determining if measurements drift over time and how to reduce this
• Designing good studies for, and studying variation from:
  • Repeat measurements, including short-, intermediate-, and long-term repeats
  • Different operators
  • Different gages
  • Different laboratories
• Using attribute-type measurements instead of continuous readings
• Studying measurement systems with destructive tests

 

Cost

 

$695. 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.