Mastering statistical process control a handbook for performance improvement using cases /
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| Format: | Software E-Book |
| Sprache: | English |
| Veröffentlicht: |
Boston
Elsevier
2005.
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| Online Zugang: | Click here to view the full text content |
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Inhaltsangabe:
- 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.