The Alfred Lerner College of Business & Economics proudly presents the
W. L. Gore Lecture Series in Management Science
The W.L. Gore Lecture Series in Management Science, which is sponsored by an endowment from the Gore family, will feature experts in the application of probability, statistics, and experimental design to decision making, including applications in academia, business, government, engineering, and medicine. The lecture series recognizes the key role that the fields of probability, statistics, and experimental design have played in the success of W.L. Gore & Associates, Inc. The inaugural lecture in this series was given in March 2011.
Tuesday, April 23, 2013 from Noon - 2:00pm
Clayton Hall Conference Center
100 David Hollowell Drive
Newark, DE 19716
Speakers: Ron Snee and Jim Lucas
Topics: Statistical Thinking and Statistical Systems
Registration: Seating for this event is limited and is by registration only.
Registration Period: March 21 - April 13 or until seating is filled.
Registration Fee: $10 per person (non-refundable after April 10, 2013).
Link to Registration Website: (click here to enter the registration site)
Dr. Ron Snee - "Statistical Thinking – Improving the Effectiveness of Analytical Studies”
It is broadly recognized that statistical methods are very useful in the design, control and improvement of businesses and organization of all types. W. L. Gore brought this to our attention early on in his 1952 book, “Statistical Methods for Chemical Experimentation”. Statistical methods are used today in industries and functions varying from electronics, pharmaceuticals and biotech to Google searches and business analytics. In the last two decades it has been found that Statistical Thinking provides strategic framework for the use of statistical methods vastly increasing its impact. In this presentation Statistical Thinking is defined and its use is illustrated with applications. The integration of Statistical Thinking and statistical methods is discussed. Central to the discussion are the critical elements of statistical thinking – process, variation and data. Attention is brought to the central importance of the “process” that provides the context for the work. Examples are used to show how Statistical Thinking can speed up the process of experimentation as well as improve the effectiveness of how problems are solved and how processes are controlled and improved.
Dr. Ron Snee - Biographical Highlights
Ron Snee is President of Snee Associates, LLC, a firm dedicated to the successful implementation of process and organizational improvement. He provides guidance to pharmaceutical and biotech executives in their pursuit of improved business performance using Quality by Design, Lean Six Sigma and other improvement approaches that produce bottom line results. He is an Adjunct Professor in the pharmaceutical programs at Temple and Rutgers Universities. He worked at DuPont for 24 years prior to starting his consulting practice. Ron received his BA from Washington and Jefferson College and MS and PhD degrees from Rutgers University. He is an academician in the International Academy for Quality and Fellow of the American Society of Quality, American Statistical Association, and American Association for the Advancement of Science. He has been awarded ASQ’s Shewhart and Grant Medals, ASA’s Deming Lecture Award as well as numerous other honors. He is a frequent speaker and has published 5 books and more than 235 papers in the fields of quality, performance improvement, management, and statistics.
Dr. James M. Lucas - "Statistical Systems”
Statistical Systems combine statistical techniques to better solve important business problems. Two statistical systems are Strategy of Experimentation (SOE), a system for designing business and scientific experiments, and Product Quality Management (PQM), a quality control and quality improvement system. We describe our work on these statistical systems and give illustrations of specific problems that have been addressed with these methods.
Dr. James M. Lucas - Biographical Highlights
James M. Lucas is the principal at J. M. Lucas and Associates, a consulting firm in Statistics and Quality Management. This firm implements business systems with statistical aspects. Before starting his own consulting firm Lucas was a Senior Consultant at DuPont’s Quality Management and Technology Center for over twenty years. He has been an Adjunct Professor at the University of Delaware and at Drexel University where he directed six PhD dissertations. He is a Fellow of the American Statistical Association (ASA) and of the American Society for Quality (ASQ), an Associate Editor of the Journal of Quality Technology, and a past Associate Editor of Chemometrics and Intelligent Laboratory Systems and of Technonetrics. Lucas is a Past President of the Delaware Chapter of the ASA, a Past Chair of the Chemical and Process Industries Division of the ASQ. He has been a team leader for the Delaware Quality Award and a past Chair of the Gordon Research Conference. He has over 60 publications and many are cited frequently. He authored the most cited paper in two volumes of Technometrics and in two volumes of the Journal of Quality Technology. He has won many awards including the Shewhart Medal, the Brumbaugh Award, the H. O. Hartley Award, the Ellis R. Ott Foundation Award, the Don Owen Award, the Shewell Award, and the Youden Prize. He has a PhD in Statistics from Texas A&M University, a MS in Statistics from Yale University, and a BS in Engineering from The Pennsylvania State University.