Statistical Process Control methods are use to assess process stability, and to determine if and when to adjust a process. They may also be used to detect the exact time when a process has shifted, and to quantify the variability in the process. They are required before assessing Process Capability.

This interactive hands-on workshop gives an overview to current methods used in SPC, and uses real data examples and current software packages – for example, Minitab and STATISTICA.

Custom workshops may be given using data from your own processes. The course is normally 1 day long, but may be given over 2 days, using more examples and applications, and/or more intensive training in the software (such as Minitab or STATISTICA).

### Workshops Topics

- Overview: What are Statistics, What is SPC, Control Charts
- Normal Distribution, Central Limit Theorem
- Six Sigma Quality
- What is SPC? What are control Charts?
- 3 key concepts: Variability, Stability and Capability
- How to assess process variability stability and capability
- Rules for Interpreting Control Charts
- Specification Limits vs Control Limits
- 3 Assumptions in using Control Charts: Random Samples, Independent, Single Source of Variation
- Rules of Thumb in Use of Control charts: choice of subgroups, determining control limits, when to change control limits, sampling frequency, when to / not to adjust the process
- Flowchart to Select Control Charts
- Comparing Shewhart, Cusum, EWMA charts
- Testing Assumptions
- What if assumptions not met?
- When to use SPC or Engineering Process Control?
- Additional Tools
- References

See comments from previous participants in Carol Kavanaugh’s workshops!