American Society for Quality: National Quality Month Statistical Symposium

For a complete schedule in PDF format, click here.

In celebration of National Quality Month, the Philadelphia Section of ASQ and the Engineering Division of Penn State Great Valley are proud to once again sponsor a symposium on statistical methods useful to quality practitioners. This year’s theme is Statistics for Growth and Improvement. The aim is to give attendees some useful facts and tools that can translate readily into practice. The format is a plenary keynote session followed by two parallel sessions.

Our Keynote Speaker:

We are most fortunate to have Mr. Doug Hlavacek immediate past chair of ASQ’s Statistics Division and Lean Six Sigma Training Director with Ecolab.  His talk is entitled Lies, Damn Lies and Statisticians.  Doug will share one statistician’s journey toward becoming a competent and productive industrial statistician along with key observations, insights, and suggested “Do Overs”.

Session I:  Statistics in the Pharmaceutical Industry

Julia O’Neill, Principal Engineer in the Manufacturing Division of Merck & Company will present Data Mining in Vaccine Manufacturing.  Julia will show how data mining technique are being used to solve complex problems in vaccine manufacturing.

Paul McAllister, Director of Statistical Sciences North America for GlaxoSmithKline,  will present Design Space-Meeting the ICH Guidance.  Through the use of examples Paul will illustrate how both the multi-factor and multivariate nature of process development experiments can be used to give quantitative risk assessments for meeting product quality requirements.

Session II: Quality Practice and Reliability

Bill Rodebaugh , Consultant, Adjunct Professor and Treasurer of the Statistics Division will presentDetermining the Right Improvement Roadmap for Your Process.  Bill will review process improvement techniques such as Lean, DMAIC and DFSS and assess their relative impact to varying manufacturing and service models.

John I. McCool Professor of System Engineering, Penn State Great Valley will present Software for OC Curves, Prediction and Confidence Intervals for the Weibull Distribution   John will describe open access software developed with his students to perform the Monte Carlo runs needed for Weibull inference.

 Details:

Friday October 3, 2008
8:30 am to 1:00 pm
Penn State Great Valley

Cost: $35
Continental Breakfast and Box Lunch included

Register with Ursula Thompson at 610-648-3277 or umt1@psu.edu
For directions, click here.