Mastering statistical process control a handbook for performance improvement using cases /
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Format: | Software eBook |
Language: | English |
Published: |
Boston
Elsevier
2005.
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Online Access: | Click here to view the full text content |
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020 | |a 0080479545 (ebook) | ||
035 | |a (OCoLC)ocn769051263 | ||
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100 | 1 | |a Stapenhurst, Tim. |e author | |
245 | 1 | 0 | |a Mastering statistical process control |b a handbook for performance improvement using cases / |c Tim Stapenhurst. |
264 | 1 | |a Boston |b Elsevier |c 2005. | |
300 | |a 1 CD-ROM |c 12 cm. | ||
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338 | |a computer disc |b cd |2 rdacarrier | ||
500 | |a Description based on print version record. | ||
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. | |
856 | |u https://ebookcentral-proquest-com.ezproxy.unimap.edu.my/lib/unimap-ebooks/detail.action?docID=234969 |y Click here to view the full text content | ||
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