Statistical process control demystified / Paul Keller. 6
By: Keller, Paul A. 4 0 (Paul Andrew).16 [, ] | [, ] |
Contributor(s): 5 6 [] |
Language: Unknown language code Summary language: Unknown language code Original language: Unknown language code Series: ; New York : McGraw-Hill, ©2011;copyright 201146Edition: Description: 24 cm. xiv, 302 pages : illustrationsContent type: text Media type: unmediated Carrier type: volumeISBN: 9780071742498 (paperback)ISSN: 2Other title: 6 []Uniform titles: | | Subject(s): -- 2 -- 0 -- -- | -- 2 -- 0 -- 6 -- | 2 0 -- | -- -- 20 -- | | -- -- Statistical methods. Process control -- -- -- | -- -- -- 20 -- --Genre/Form: -- 2 -- Additional physical formats: DDC classification: | 658.562 LOC classification: | TS156.8 | .K44 20112Other classification:| Item type | Current location | Home library | Collection | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|---|---|
| Book | PLM | PLM Circulation Section | Circulation-Circulating | 658.562 K284s 2011 (Browse shelf) | Available | C36039 |
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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 ; 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 constants.
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