Statistical process control demystified

Main Author: Keller
Format: Book
Published: New York: McGraw-Hill, 2011.
Series:Demystified series
Subjects:
Table of Contents:
  • Analyzing process data : The application of statistics to processes ; A process defined ; Population versus process statistics ; Statistical process control Concepts ; Requirements versus control ; Control chart interpretation ; Reaction to special cause variation ; Interpretation relative to requirements
  • 2. Data collection : Data properties ; Metrics ; Chart selection ; Sampling requirements
  • 3. Determining suitability to requirements : Overview ; Capability indices assuming normality of process data ; Interpretation ; Estimating process variation ; Errors in estimating process capability ; Identifying non-normality in process data ; Capability estimates for non-normal processes
  • Process performance indices
  • 4. Attribute control charts : Description and use ; Interpretation ; Sampling considerations
  • 5. X charts : Chart construction ; Interpretation
  • 6. Charts for individuals data : Description and use
  • 7. Process improvement : Overview ; Stratification ; Regression analysis ; Residuals analysis ; Multiple regression ; Designed experiments
  • 8. Measurement systems analysis : Overview ; Stability ; Linearity ; Repeatability & reproducibility (R&R)
  • 9. Questions and examples from practitioners : Lean six sigma/quality management concerns ; Sampling considerations ; Attribute chart examples ; Histograms and process capability ; Variable chart examples
  • Appendix: Control chart constant