Mastering statistical process control a handbook for performance improvement using cases /

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Bibliographic Details
Main Author: Stapenhurst, Tim (Author)
Format: Software eBook
Language:English
Published: Boston Elsevier 2005.
Subjects:
Online Access:Click here to view the full text content
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505 0 |a Cover -- TOC$Contents -- List of Figures -- List of Charts -- List of Case Studies and Examples -- Reference of Charts -- Preface -- Acknowledgements -- Introduction -- The aim of the book -- The structure of the book -- How to use this book -- Part 1: An Introduction to the Theory of SPC -- CH$1. Statistical process control -- A word on processes ... -- ... And a word on variation -- Some statistical measures -- Why is understanding variation important to management? -- Summary of the implications of process variation -- Tampering (over-control) and its effect on performance -- Control charts: the tool for understanding process performance -- Dispelling some myths of SPC -- Are there situations where SPC is not appropriate? -- The relationship between SPC and Six Sigma -- Summary -- Part 2: Exploding Data Analysis Myths -- CH$2. Problems with monthly report tables, goals and quartiles -- Introduction -- Comparing pairs of numbers: a trap for the unwary -- Death by numbers: the Saga of the monthly report (Table 2.1) -- Who wins the prize? How not to compare regional performance statistics -- Falsifying the data (and how to spot it): one result of setting targets -- Querying the top quartile: Does it mean anything? -- Summary -- CH$3. Exploring the mis-information in moving average charts: How they fail to respond to process changes, out-of-control points, trends and seasonality -- Introduction -- Coping with seasonality and trends -- What moving averages actually monitor -- Summary -- CH$4. The problems with year-to-date figures -- Introduction -- Why YTD charts do not work -- Comparing YTD and YTD average charts with control charts -- Summary -- Part 3: Putting SPC into Practice - The Cases -- CH$5. Investigating variation in chemical concentration: How control charts were used to identify, investigate and prove the cause of fluctuations in results -- Introduction -- Background -- Analysis -- Comments -- Calculations -- Summary -- CH$6. Improving examination results by analysing past performance and changing teaching methods -- Introduction -- Background -- Analysis -- Calculations -- Comments -- Summary -- CH$7. Demonstration that moving averages are poor indicators of true process performance: Monitoring the frequency of incidents -- Introduction -- Background -- Analysis -- Comments -- Calculations and data -- Summary -- CH$8. Monitoring rare events: How a sudden but uncertain change in safety record was shown to be significant -- Introduction -- Background -- Analysis -- Calculations -- Summary -- CH$9. Comparing surgical complication rates between hospitals -- Introduction -- Background -- Analysis -- Comments -- Calculations -- Summary -- CH$10. Comparing the frequency of rare medical errors between centres -- Introduction -- Background -- Analysis -- Comments -- Calculations -- Summary -- CH$11. Metrics proposal for a training administration process -- Introduction -- Background -- Wrong course identified -- Cancellations and changes -- Final comments --T$1009. 
650 0 |a Quality control  |x Statistical methods. 
650 0 |a Process control  |x Statistical methods. 
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