SPC…Statistical Process Control.
…attribute charts, variable charts, process capability, pareto charts, pre-control, spc analysis, process control, variability reduction… etc…
Want to understand Statistical Process Control?…
- Statistical Process Control (SPC) explained in an easy to understand format.
- Use to inform yourself about methods of statistical control.
- Use in the training of your work peers.
- Step through at your own pace, in your own time, from the convenience of your desktop, laptop, tablet or mobile.
- View as often as you wish.
- The information is divided into a range of modules so that you can focus on those modules of particular interest to you.
- 510 pages of information provided in a logical, easy to understand format.
- $50 for 1 year’s unlimited use.
Statistical Process Control• The objectives and benefits of SPC
• Introduction to statistics underlying SPC
• Special and common cause variation
• Variation in processes and causes
• Calculation of basic statistics including standard deviation
• The normal distribution
• Sampling distribution of the mean
• Process capability analysis
• Process capability studies – characteristics, specifications, tolerances, sampling plans
• Process performance metrics
• Process capability indices Cp, Cpk, Cpm, capability ratio
• Performance indices Pp and Ppk
Control charts• Variable control charts
• Attribute charts
• Pareto Charts
• X-Bar / Range Charts / Sigma Charts
• Statistical Process Control for low volume / frequent process changes. The Z-MR Chart
• Individual-X Charts (X-Charts)
• Histograms / Process Capability Analysis
• Scatter Diagrams
• Exponentially Weighted Moving Average (EWMA) Chart
• Moving Average / Range Chart
• Moving Average / Sigma Chart
• Multivariate Chart
• p, np, c, and u charts
SPC AnalysisThe advantages/disadvantages of attribute control charts versus variable control charts
Interpreting charts using the rules for determining statistical control
Performing PRE-control calculations and analysis
Applying short-run SPC methods and techniques
Measurement systems analysis – gauge R&R
Conducting, analysing and interpreting a gauge R&R study
Applying statistical techniques to product and process improvement
On-going monitoring and continuous improvement