Six Sigma with R Statistical Engineering for Process Improvement

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...

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Bibliographic Details
Main Authors: Cano, Emilio L., Martinez Moguerza, Javier (Author), Redchuk, Andrés (Author)
Format: eBook
Language:English
Published: New York, NY Springer New York 2012, 2012
Edition:1st ed. 2012
Series:Use R!
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Part I Basics
  • Six Sigma in a Nutshell
  • R from the Beginning
  • Part II R Tools for the Define phase
  • Process Mapping with R
  • Loss Function Analysis with R
  • Part III R Tools for the Measure phase
  • Measurement System Analysis with R
  • Pareto Analysis with R
  • Process Capability Analysis with R
  • Part IV R Tools for the Analyze phase
  • Charts with R
  • Statistics and Probability with R
  • Statistical Inference with R
  • Part V R Tools for the Improve phase
  • Design of Experiments with R
  • Part VI R Tools for the Control phase
  • Process Control with R
  • Part VII Further and Beyond
  • Other Tools and Methodologies