|
 Course
Overview
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
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)
|
