Advanced Statistical Process Control (SPC) Training
This 3-day course builds on the fundamental Statistical Process Control (SPC) concepts and traditional charts learned in the Statistical Process Control course. It provides an even deeper understanding of the underlying concepts and methods designed into SPC-IQ®. More advanced charts that are necessary for handling modern production methods are covered in detail. This course also teaches participants how to handle non-Normal data. It is assumed that participants have taken Statistical Process Control course (or equivalent).
Read the "Capability Indices Can Be Deceiving" article.
Register on-line or download registration form .
Course Content
Review of Traditional SPC
- Normal & Non-Normal Distributions
- Stability & Capability
- Spec Limits & Control Limits
- Definition of Quality
- Quality Control vs. Process Control
Sampling and Sample Size (Sensitivity)
- Type I and Type II Errors
- Sensitivity & Sample Size
Two Potentially Different Processes
- Two Measurements from a Single Unit
- A Single Measurement on Two "Related" Units
- Paired t Test
- Xbar, Rb, Rw, and d Charts
Multiple Potentially Different Processes
- Multiple Measurements from a Single Unit
- A Single Measurement on Multiple "Related" Units
- Analysis of Variance (ANOVA)
- Xbar, Rb, Rw, and d Charts
Testing for Normality
- Graphical Tests for Normality
- Normal Probability Plots
- Moments Tests
- Other Tests
SPC for Non-Normal Data
- Pearson Curve Fitting
- Box Cox Transformations
- Distribution Fitting
SPC for Trending Data
- Charts for Trending Data
- Simple Linear Regression
- Coding Data to Account for Trends
Other Charts for Individuals
- Non-Normal Individuals
- CUSUM Charts
- EWMA Charts
Attribute Charts
- Review of Charts for Attribute Data
- p, np, c, u charts
- Standardized Charts for Varying Sample Sizes (standardized p chart and standardized u chart)
Read the "Capability Indices Can Be Deceiving" article.
Register on-line or download registration form .