Coverart for item
The Resource Six sigma with R : statistical engineering for process improvement, Emilio L. Cano, Javier M. Moguerza, Andrés Redchuk

Six sigma with R : statistical engineering for process improvement, Emilio L. Cano, Javier M. Moguerza, Andrés Redchuk

Label
Six sigma with R : statistical engineering for process improvement
Title
Six sigma with R
Title remainder
statistical engineering for process improvement
Statement of responsibility
Emilio L. Cano, Javier M. Moguerza, Andrés Redchuk
Creator
Contributor
Subject
Genre
Language
eng
Summary
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
Member of
Cataloging source
GW5XE
http://library.link/vocab/creatorName
Cano, Emilio L
Dewey number
658.4013
Illustrations
illustrations
Index
index present
LC call number
TS156
LC item number
.C36 2012
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorName
  • Moguerza, Javier M
  • Redchuk, Andrés
Series statement
Use R!
Series volume
36
http://library.link/vocab/subjectName
  • Six sigma (Quality control standard)
  • Six sigma (Quality control standard)
  • R (Computer program language)
  • Software
  • Commerce
  • Programming Languages
  • Quality Control
  • BUSINESS & ECONOMICS
  • BUSINESS & ECONOMICS
  • R (Computer program language)
  • Six sigma (Quality control standard)
Label
Six sigma with R : statistical engineering for process improvement, Emilio L. Cano, Javier M. Moguerza, Andrés Redchuk
Instantiates
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • pt. 3.
  • R Tools for the Measure Phase
  • Measurement System Analysis with R
  • Pareto Analysis with R
  • Process Capability Analysis with R
  • pt. 4.
  • R Tools for the Analyze phase
  • Charts with R
  • Statistics and Probability with R
  • Statistical Inference with R
  • pt. 1.
  • pt. 5.
  • R Tools for the Improve phase
  • Design of Experiments with R
  • pt. 6.
  • R Tools for the Control Phase
  • Process Control with R
  • pt. 7.
  • Further and Beyond
  • Other Tools and Methodologies
  • Basics
  • Six Sigma in a Nutshell
  • R from the Beginning
  • pt. 2.
  • R Tools for the Define Phase
  • Process Mapping with R
  • Loss Function Analysis with R
Control code
798917414
Dimensions
unknown
Extent
1 online resource
File format
unknown
Form of item
online
Isbn
9781461436522
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
  • 9786613768506
  • 10.1007/978-1-4614-3652-2
Other physical details
illustrations (some color)
http://library.link/vocab/ext/overdrive/overdriveId
376850
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
(OCoLC)798917414
Label
Six sigma with R : statistical engineering for process improvement, Emilio L. Cano, Javier M. Moguerza, Andrés Redchuk
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • pt. 3.
  • R Tools for the Measure Phase
  • Measurement System Analysis with R
  • Pareto Analysis with R
  • Process Capability Analysis with R
  • pt. 4.
  • R Tools for the Analyze phase
  • Charts with R
  • Statistics and Probability with R
  • Statistical Inference with R
  • pt. 1.
  • pt. 5.
  • R Tools for the Improve phase
  • Design of Experiments with R
  • pt. 6.
  • R Tools for the Control Phase
  • Process Control with R
  • pt. 7.
  • Further and Beyond
  • Other Tools and Methodologies
  • Basics
  • Six Sigma in a Nutshell
  • R from the Beginning
  • pt. 2.
  • R Tools for the Define Phase
  • Process Mapping with R
  • Loss Function Analysis with R
Control code
798917414
Dimensions
unknown
Extent
1 online resource
File format
unknown
Form of item
online
Isbn
9781461436522
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
  • 9786613768506
  • 10.1007/978-1-4614-3652-2
Other physical details
illustrations (some color)
http://library.link/vocab/ext/overdrive/overdriveId
376850
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
(OCoLC)798917414

Library Locations

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      1020 Lowry Street, Columbia, MO, 65201, US
      38.944491 -92.326012
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