Advanced Statistical Process Control Training

This course builds on the fundamental SPC concepts and traditional charts learned in the Statistical Process Control course.  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 (or equivalent).

Seminar Content (2 Days)

  1. Review of Traditional SPC
    • Normal & Non-Normal Distributions
    • Stability & Capability
    • Spec Limits & Control Limits
    • Definition of Quality
    • Quality Control vs. Process Control
  2. Sampling and Sample Size (Sensitivity)
    • Type I and Type II Errors
    • Sensitivity & Sample Size
  3. Short Run SPC
    • DNOM Charts
    • Standardized DNOM and S Charts
  4. Charts for Multiple Locations
    • Rational Sample Violations
    • Xbar, Rb, S Charts
    • Xbar, Rb, d Charts
    • Testing 2 locations (Paired t)
    • Testing >2 locations (2-way ANOVA)
  5. Testing for Normality
    • Central Limit Theorem
    • Normality Impact
    • Graphical Tests
    • Other Tests
  6. SPC for Non-Normal Data
    • Process Capability
    • Control Limits
    • Box Cox Transformations
    • Distribution Fitting
  7. SPC for Trending Data
    • Charts for Trending Data
    • Simple Linear Regression
    • Coding Data to Account for Trends
  8. Other Charts for Individuals
    • Time Weighted Charts
    • CUSUM Charts
    • EWMA Charts
  9. Attribute Charts
    • Review of Charts for Attribute Data
    • p, np, c, u charts
    • Standardized Charts (p,u) for varying sample sizes