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).
- 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
- VPs of Quality and Manufacturing
- Manufacturing engineers
- Quality managers, engineers and technicians