42497

Paul Keller

New York McGraw-Hill

2011

xiv, 302 p. : illus

Demystified series

Includes bibliographical references (p. 289-290) and index. , 1. Analyzing process data : The application of statistics to processes ; A process defined ; Population versus process statistics ; S tatistical 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 constants.

TI McGraw-Hill "Demystified" series

TS

156.8

.K44

2011

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