Mastering Statistical Process Control
| Year of publication: |
2013
|
|---|---|
| Authors: | Stapenhurst, Tim |
| Publisher: |
Hoboken : Taylor and Francis |
| Subject: | Statistische Qualitätskontrolle | Statistical quality control | Statistische Methode | Statistical method | Prozessmanagement | Business process management | Qualitätsmanagement | Quality management | Controlling | Management control |
| Description of contents: | Table of Contents [gbv.de] |
| Extent: | Online-Ressource (497 p) |
|---|---|
| Type of publication: | Book / Working Paper |
| Language: | English |
| Notes: | Description based upon print version of record Cover; Mastering Statistical Process Control: A Handbook for Performance Improvement Using Cases; Copyright; 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; 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 performanceControl 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; 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; Who wins the prize? How not to compare regional performance statistics Falsifying the data (and how to spot it): one result of setting targetsQuerying the top quartile: Does it mean anything?; Summary; 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; Analysis; Coping with seasonality and trends; What moving averages actually monitor; Summary; 4 The problems with year-to-date figures; Introduction; Analysing YTD against plan; Analysing this year's YTD against last year's YTD; Why YTD charts do not work Comparing YTD and YTD average charts with control chartsSummary; PART 3 Putting SPC into Practice - The Cases; The sources of the case studies; Control charts in the real worlds are not always so clear; A word on chart formats; Layout of and information in the case studies; How to use the case studies?; 5 Investigating variation in chemical concentration: How control charts were used to identify, investigate and prove the cause of fluctuations in results; 6 Improving examination results by analysing past performance and changing teaching methods 7 Demonstration that moving averages are poor indicators of true process performance: Monitoring the frequency of incidents8 Monitoring rare events: How a sudden but uncertain change in safety record was shown to be significant; 9 Comparing surgical complication rates between hospitals; 10 Comparing the frequency of rare medical errors between medical centres; 11 Metrics proposal for a training administration process; 12 Reducing problems during borehole drilling: An example of monitoring two metrics on one chart; 13 Applying control charts to benchmarking in the drilling industry 14 Comparing the results of using different charts to analyse a set of data: An application to a batch production process |
| ISBN: | 978-0-7506-6529-2 ; 978-0-08-047954-5 ; 978-0-7506-6529-2 |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012031802