Use R!

Six Sigma with R

Statistical Engineering for Process Improvement

Authors: Cano, Emilio L., M. Moguerza, Javier, Redchuk, Andrés

  • 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
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eBook $59.99
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  • ISBN 978-1-4614-3652-2
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  • Immediate eBook download after purchase
Softcover $79.99
price for USA
valid through November 5, 2017
  • ISBN 978-1-4614-3651-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the eBook  
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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.

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.

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)


Table of contents (13 chapters)

  • Six Sigma in a Nutshell

    Cano, Emilio L. (et al.)

    Pages 3-13

  • R from the Beginning

    Cano, Emilio L. (et al.)

    Pages 15-47

  • Process Mapping with R

    Cano, Emilio L. (et al.)

    Pages 51-61

  • Loss Function Analysis with R

    Cano, Emilio L. (et al.)

    Pages 63-75

  • Measurement System Analysis with R

    Cano, Emilio L. (et al.)

    Pages 79-90

Buy this book

eBook $59.99
price for USA (gross)
  • ISBN 978-1-4614-3652-2
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $79.99
price for USA
valid through November 5, 2017
  • ISBN 978-1-4614-3651-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the eBook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Six Sigma with R
Book Subtitle
Statistical Engineering for Process Improvement
Authors
Series Title
Use R!
Series Volume
36
Copyright
2012
Publisher
Springer-Verlag New York
Copyright Holder
Springer Science+Business Media New York
eBook ISBN
978-1-4614-3652-2
DOI
10.1007/978-1-4614-3652-2
Softcover ISBN
978-1-4614-3651-5
Series ISSN
2197-5736
Edition Number
1
Number of Pages
XXX, 284
Number of Illustrations and Tables
78 b/w illustrations, 26 illustrations in colour
Topics