Process Control and Capability

Process Capability Analysis - click for larger image

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
- Variable Control Charts: X-bar, Range, I, MR
- Attribute Control Charts: c, u, p. np
- Process Capability Indices: Cp, K, Cpk, Cpm, Cr, Pp, Pr; relationships among capability indices
- One Point Signal Control charts: EWMA, Cusum charts
- Comparing Shewhart, Cusum, EWMA charts
Testing Assumptions
What if assumptions not met?
When to use SPC or Engineering Process Control?
Additional Tools
References