Statistical process control does for discrete manufacturing operations what automatic process control does for chemical process operations. A control chart tells production personnel when to adjust the process, and when to leave it alone. In this session by expert speaker William A. Levinson, you will receive a control chart simulator that uses gun targets side by side with histograms and control charts to illustrate the effects of variation and accuracy on quality and also the behavior of the charts. (The chart stimulator works in Windows 7; but may not be usable on Apple systems.)
The session will also explain the fundamental principles behind statistical process control, which includes particularly important variation and accuracy concepts and will highlight the difference that random variation and special or assignable causes have. This webinar will also go beyond the textbook assumption that processes follow normal or bell curve distributions by describing what happens when these assumptions are not met. If your control charts don't seem to work properly (e.g. due to excessive false alarms, or points outside both control limits), this presentation will explain you why.
Who Should Attend
Manufacturing and quality professionals
William A. Levinson P.E.
William A. Levinson, P.E., is the principal of Levinson Productivity Systems, P.C. He is an ASQ Fellow, Certified Quality Engineer, Quality Auditor, Quality Manager, Reliability Engineer, and Six Sigma Black Belt. He is also the author of several books on quality, productivity, and management, of which the most recent ... More info