Authors:
- Introduces Six Sigma from a purely applied point of view
- Statistical tools are explained on an intuitive way through a variety of easy to understand examples
- Accessible to a wide range of readers
Part of the book series: Use R! (USE R, volume 36)
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Table of contents (13 chapters)
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Front Matter
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Basics
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Front Matter
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R Tools for the Define Phase
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Front Matter
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R Tools for the Define phase
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R Tools for the Measure Phase
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Front Matter
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R Tools for the Measure phase
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R Tools for the Analyze Phase
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Front Matter
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R Tools for the Analyze phase
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R Tools for the Improve Phase
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Front Matter
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R Tools for the Improve phase
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R Tools for the Control Phase
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Front Matter
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R Tools for the Control phase
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Further and Beyond
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Front Matter
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About this book
Six Sigma has arisen in the last two decades as a breakthrough Quality Management Methodology. With Six Sigma, we are solving problems and improving processes using as a basis one of the most powerful tools of human development: the scientific method. For the analysis of data, Six Sigma requires the use of statistical software, being R an Open Source option that fulfills this requirement. R is a software system that includes a programming language widely used in academic and research departments. Nowadays, it is becoming a real alternative within corporate environments.
The aim of this book is to show how R can be used as the software tool in the development of Six Sigma projects. The book includes a gentle introduction to Six Sigma and a variety of examples showing how to use R within real situations. It has been conceived as a self contained piece. Therefore, it is addressed not only to Six Sigma practitioners, but also to professionals trying to initiate themselves in this management methodology. The book may be used as a text book as well.
Reviews
From the book reviews:
“The reviewed book deals with the use of R software within six sigma methodology. … To help a practitioner read this book, the authors conclude each chapter with a summary and further reading, case studies, and practical exercises. … The authors have combined their scientific, technological, industrial, and pedagogical skills so that the reader finds in the book an innovative, rigorous, and economical way to apply Six Sigma methodology to continuous quality improvement.” (Adriana Horníková, Technometrics, Vol. 55 (1), February, 2013)
Authors and Affiliations
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, Department of Statistics and Operations, Rey Juan Carlos University, Madrid, Spain
Emilio L. Cano, Javier M. Moguerza, Andrés Redchuk
About the authors
Emilio L. Cano is Adjunct Lecturer at the Department of Mathematics at University of Castilla-La Mancha and Research Assistant Professor at the Department of Statistics and Operations Research at University Rey Juan Carlos.
Javier M. Moguerza is Associate Professor in Statistics and Operations Research at University Rey Juan Carlos and member of the Global Young Academy.
Andres Redchuk is Master Black Belt and Research Assistant Professor at the Department of Statistics and Operations Research at University Rey Juan Carlos.
Bibliographic Information
Book Title: Six Sigma with R
Book Subtitle: Statistical Engineering for Process Improvement
Authors: Emilio L. Cano, Javier M. Moguerza, Andrés Redchuk
Series Title: Use R!
DOI: https://doi.org/10.1007/978-1-4614-3652-2
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Science+Business Media New York 2012
Softcover ISBN: 978-1-4614-3651-5Published: 05 July 2012
eBook ISBN: 978-1-4614-3652-2Published: 04 July 2012
Series ISSN: 2197-5736
Series E-ISSN: 2197-5744
Edition Number: 1
Number of Pages: XXX, 284
Number of Illustrations: 78 b/w illustrations, 26 illustrations in colour
Topics: Statistics, general, Statistics for Life Sciences, Medicine, Health Sciences, Statistics and Computing/Statistics Programs, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Statistics for Business, Management, Economics, Finance, Insurance