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Six Sigma quality improvement with Minitab

Author: G Robin Henderson
Publisher: Hoboken, NJ : John Wiley & Sons, 2011.
Edition/Format:   eBook : Document : English : 2nd edView all editions and formats
Database:WorldCat
Summary:
This book aims to enable readers to understand and implement, via the widely used statistical software package Minitab (Release 16), statistical methods fundamental to the Six Sigma approach to the continuous improvement of products, processes and services. The second edition includes the following new material:Pareto charts and Cause-and-Effect diagramsTime-weighted control charts cumulative sum (CUSUM) and  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Henderson, G. Robin.
Six Sigma quality improvement with Minitab.
Hoboken, NJ : John Wiley & Sons, 2011
(DLC) 2011012320
(OCoLC)723723416
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: G Robin Henderson
ISBN: 9781119975328 1119975328 9781119975335 1119975336
OCLC Number: 739116861
Description: 1 online resource (xvi, 504 pages) : illustrations
Contents: Front Matter --
Introduction --
Data Display, Summary and Manipulation --
Exploratory Data Analysis, Display and Summary of Multivariate Data --
Statistical Models --
Control Charts --
Process Capability Analysis --
Process Experimentation with a Single Factor --
Process Experimentation with Two or More Factors --
Evaluation of Measurement Processes --
Regression and Model Building --
Learning More and Further Minitab --
Appendix 1: Sigma Quality Levels and Number of Nonconformities per Million Opportunities --
Appendix 2: Factors for Control Charts --
Appendix 3: Formulae for Control Charts --
Appendix 4: Tests for Evidence of Special Causes on Minitab Control Charts --
References --
Index --
Minitab.
Responsibility: George Robin Henderson.
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Abstract:

This book aims to enable readers to understand and implement, via the widely used statistical software package Minitab (Release 16), statistical methods fundamental to the Six Sigma approach to the  Read more...

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