FREE Webinar: How to Calculate the Risk of a Decision: Shainin B vs C

Topic: How to Calculate the Risk of a Decision: Shainin B vs C
Date: Tuesday, February 15, 2011
Time: 7:00 pm – 8:15 pm Eastern Standard Time
Cost: FREE
Register: http://www.asq-auto.org/webinars
After registering you will receive a confirmation email containing information about joining the Webinar.
Contact: Ha Dao, ASQ Automotive Chair, Phone: (937) 710-3054
E-Mail: HaDao@woh.rr.com - Website: www.asq-auto.org

Abstract:
Manufacturers are constantly making changes to their products and processes. The goal for each change is improvement. It might be improvement in product performance, product reliability, manufacturing quality or productivity. Changes are often made in response to an existing quality or reliability problem. Unfortunately, there is always a risk that these changes are ineffective. In some cases the change does no harm. However, the time and expense to implement the change is wasted. In other cases, the change introduces new problems which may be more severe than the original problem.
 This webinar will describe the Shainin B vs. C™ test, a simple statistical test to reduce the risk of ineffective changes. In addition to learning the details of a B vs. C test, participants will learn key principles for all statistical tests including assessing the risk of a wrong decision and avoiding spurious associations.
Biography:
Richard Shainin, executive vice president Shainin Problem Solving and Prevention, is an author, consultant and renowned lecturer. He has published articles in Quality Engineering, Six Sigma Forum and is a contributor to the John Wiley and Sons Encyclopedia of Statistics in Quality and Reliability. His insights on quality, reliability and technical problem solving have been quoted by Bloomberg News, Automotive Engineering, The Detroit Free Press, The Detroit News and Automotive News. He has also been interviewed for radio and television.
During a two decade consulting career, Mr. Shainin has helped global companies across a number of industries improve manufacturing performance and enhance product quality and reliability. He has trained thousands of engineers in Shainin® methods for problem solving and prevention.
Prior to joining Shainin, Richard worked at AT&T, guiding teams in engineering, operations, marketing and sales. He has a bachelor of engineering with a concentration in mechanical engineering from the Stevens Institute of Technology (Hoboken, NJ), and a master of business administration with a concentration in operations analysis from American University (Washington, D.C.). He is a graduate of the AT&T Management Development Program.