Statistical Process Control – Keys to Prevent Process Variation and Ensure Quality

Statistical Process Control – Keys to Prevent Process Variation and Ensure Quality

Statistical process control (SPC) is a form of feedback process control that does for discrete manufacturing operations what automatic process control does for chemical process operations. The control chart reveals the presence of special or assignable causes that require corrective action, such as adjustment of the process by production personnel.

Attend this session to understand the fundamentals of statistical process control, including its role in the proactive detection of process shifts that would otherwise cause nonconformances if not corrected.

William will introduce you to control charts that display how variation and accuracy can affect the quality of the manufacturing operations. You will be able to understand the concept of the control chart along with the implications of the rational subgroup.

Plus, get a link to a Visual Basic program (installable on Windows 7 systems) that teaches the concepts of variation and accuracy, along with their effects on control chart behavior. (A free copy will be provided to all attendees, licensed for use on one computer).

Areas Covered in the Session :

  • Key concepts of variation and accuracy
  • Concept of tampering or over-adjustment for random variation
  • Hypothesis testing: null and alternate hypothesis, and associated risks of incorrect decisions about them
  • Deployment of hypothesis tests about the process to control charts, which illustrate the tests visually
  • The rational subgroup; does the sample reflect all variation sources in the process?
  • Implication of non-normal (non-bell-curve) processes
  • Setup and use of control charts
Who Should Attend:

  • VPs of Quality and Manufacturing
  • Manufacturing engineers
  • Quality managers, engineers and technicians


William Levinson

William (Bill) 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 holds degrees in chemistry and chemical engineering from Pennsylvania State and Cornell Universities, and night school degrees in business administration and applied statistics from Union College, and he has given presentations at the ASQ World Conference, TOC World 2004, and other national conferences on productivity and quality. Mr. Levinson is also the author of several books on quality, productivity, and management. Henry Ford's Lean Vision is a comprehensive overview of the lean manufacturing and organizational management methods that Ford employed to achieve unprecedented bottom line results, and Beyond the Theory of Constraints describes how Ford's elimination of variation from material transfer and processing times allowed him to come close to running a balanced factory at full capacity. Statistical Process Control for Real-World Applications shows what to do when the process doesn't conform to the traditional bell curve assumption.