Six Sigma with R

Statistical Engineering for Process Improvement

  • Emilio L. Cano
  • Javier M. Moguerza
  • Andrés Redchuk

Part of the Use R! book series (USE R, volume 36)

Table of contents

  1. Front Matter
    Pages i-xxx
  2. Basics

    1. Front Matter
      Pages 1-1
    2. Emilio L. Cano, Javier M. Moguerza, Andrés Redchuk
      Pages 3-13
    3. Emilio L. Cano, Javier M. Moguerza, Andrés Redchuk
      Pages 15-47
  3. R Tools for the Define Phase

    1. Front Matter
      Pages 49-49
    2. Emilio L. Cano, Javier M. Moguerza, Andrés Redchuk
      Pages 51-61
    3. Emilio L. Cano, Javier M. Moguerza, Andrés Redchuk
      Pages 63-75
  4. R Tools for the Measure Phase

    1. Front Matter
      Pages 77-77
    2. Emilio L. Cano, Javier M. Moguerza, Andrés Redchuk
      Pages 79-90
    3. Emilio L. Cano, Javier M. Moguerza, Andrés Redchuk
      Pages 91-100
    4. Emilio L. Cano, Javier M. Moguerza, Andrés Redchuk
      Pages 101-112
  5. R Tools for the Analyze Phase

    1. Front Matter
      Pages 113-113
    2. Emilio L. Cano, Javier M. Moguerza, Andrés Redchuk
      Pages 115-139
    3. Emilio L. Cano, Javier M. Moguerza, Andrés Redchuk
      Pages 141-165
    4. Emilio L. Cano, Javier M. Moguerza, Andrés Redchuk
      Pages 167-193
  6. R Tools for the Improve Phase

    1. Front Matter
      Pages 195-195
    2. Emilio L. Cano, Javier M. Moguerza, Andrés Redchuk
      Pages 197-215
  7. R Tools for the Control Phase

    1. Front Matter
      Pages 217-217
    2. Emilio L. Cano, Javier M. Moguerza, Andrés Redchuk
      Pages 219-238
  8. Further and Beyond

    1. Front Matter
      Pages 239-239

About this book

Introduction

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.

Keywords

Business Analytics DMAIC Management Operations Research Process Improvement Quality R Six Sigma

Authors and affiliations

  • Emilio L. Cano
    • 1
  • Javier M. Moguerza
    • 2
  • Andrés Redchuk
    • 3
  1. 1., Department of Statistics and OperationsRey Juan Carlos UniversityMadridSpain
  2. 2., Department of Statistics and OperationsRey Juan Carlos UniversityMadridSpain
  3. 3., Department of Statistics and OperationsRey Juan Carlos UniversityMadridSpain

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4614-3652-2
  • Copyright Information Springer Science+Business Media New York 2012
  • Publisher Name Springer, New York, NY
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-1-4614-3651-5
  • Online ISBN 978-1-4614-3652-2
  • About this book