Dr. Douglas Montgomery: A Sampling of His Expertise

InfinityQS Blog
By InfinityQS Blog | June 14, 2011
Blog Author

We recently announced that Dr. Douglas Montgomery will be the Keynote speaker at our fifth annual user conference, Infusion 2011, on October 16-19 in San Francisco. 

Following a series of industry pioneers such as Davis Bothe and Dr. Donald J. Wheeler, Dr. Montgomery was a natural choice for our 2011 event. To name just a few of his credentials, Dr. Montgomery has:

  • Authored 12 books and 225 archival works
  • Received numerous industry awards, such as the Shewell Award from the ASQ, the Deming Lecture Award from the ASA, and the George Box Medal from the European Network for Business and Industrial Statistics
  • Been named a fellow of several industry organizations, including the American Statistical Association (ASA), the American Society for Quality (ASQ), the Royal Statistical Society (RSS), and the Institute of Industrial Engineers (IIE)
  • Been named a Regents’ Professor at Arizona State University

We’re extremely honored to have such a renowned expert speak at our user conference. The more educated our users are on statistical methods and applications, the more value they will be able to get from our software. Our objective with Infusion is to help users maximize their investment by achieving measureable results—whether that means less scrap, improved productivity, lower costs, or a combination of those elements. By bringing in industry leaders such as Dr. Montgomery, we help augment our users’ knowledge of statistical concepts and methodologies.

Montgomery will discuss the latest techniques in utilizing statistically designed experiments -- the most important of the six sigma tools -- to improve quality control and enhance product and process improvement in his presentation, "Modern Experimental Design Methods and Their Impact on Quality.” Here’s a sneak peak at his presentation content:

Statistically designed experiments have been more widely used during the last 20 years than ever before. They have been called the most important of the six-sigma tools--presenting an organized framework for making changes to the factors that potentially impact the output quality and performance of the process or product and determining which factors are most influential on these outputs. 

The last few years have seen many new developments in the field, including new techniques and methods for constructing and using optimal designs, methods for robust design, and designs for computer experiments. These techniques have widespread potential application in product design process improvement and are major parts of the toolkit for both operational six-sigma and design for six-sigma. Some of these new methods will be described and illustrated, and their applications in product and process improvement will be discussed.

Have you or your organization incorporated any of Montgomery’s teachings?  

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