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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
Call Number:Libro Electrónico
Main Authors: Cano, Emilio L. (Author), Martinez Moguerza, Javier (Author), Redchuk, Andrés (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:Inglés
Published: New York, NY : Springer New York : Imprint: Springer, 2012.
Edition:1st ed. 2012.
Series:Use R!, 36
Subjects:
Online Access:Texto Completo
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.