Statistical Process Control II
(SPC II)
Develop an in-depth understanding of the approaches in managing
special process control situations, complicated output characteristics
and how to handle non-normal data. This course builds on the
fundamental concepts and traditional charts learned in SPC
I. More advanced charts that are necessary for handling modern
production methods are covered in detail.
Seminar Content
Summary of Traditional SPC
Review
Stability and Capability
Sampling and Sample Size Issues
Types of Sampling Strategies
Type I and Type II Errors
Computing Appropriate 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
Normal Probability Plots
Goodness of Fit Tests
Managing Nonnormal Data
Box Cox Transformations
Pearson Curve Fitting
Capability Analysis for Nonnormal Data
Charts for Individuals
Nonnormal Individuals
CUSUM and EWMA Charts
SPC for Trending Data
Charts for Trending Data
Coding Data to Account for Trends
Attribute Data
Standardized Charts for Varying Sample Size
To request a quote, contact:
Elena O'Connor, On-site Programs
Phone: (734) 487-4926
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