Statistical process control demystified
By: Paul Keller
Series: Demystified series; McGraw-Hill "Demystified" series
Publisher: McGraw-Hill; McGraw-Hill Professional
Published: 2011
Place of publication: New York
Language: eng
Number of pages: 302
ISBN-13: 9780071742498
Subjects: Statistical methods; Process control
Notes: Includes bibliographical references (p. 289-290) and index.
Table of contents: title: 1. 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; title: 2. Data collection : Data properties ; Metrics ; Chart selection ; Sampling requirements; title: 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; title: Process performance indices; title: 4. Attribute control charts : Description and use ; Interpretation ; Sampling considerations; title: 5. X charts : Chart construction ; Interpretation; title: 6. Charts for individuals data : Description and use; title: 7. Process improvement : Overview ; Stratification ; Regression analysis ; Residuals analysis ; Multiple regression ; Designed experiments; title: 8. Measurement systems analysis : Overview ; Stability ; Linearity ; Repeatability & reproducibility (R&R); title: 9. Questions and examples from practitioners : Lean six sigma/quality management concerns ; Sampling considerations ; Attribute chart examples ; Histograms and process capability ; Variable chart examples; title: Appendix: Control chart constants.