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
Resource Information
The item Six sigma with R : statistical engineering for process improvement, Emilio L. Cano, Javier M. Moguerza, Andrés Redchuk represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.This item is available to borrow from 1 library branch.
Resource Information
The item Six sigma with R : statistical engineering for process improvement, Emilio L. Cano, Javier M. Moguerza, Andrés Redchuk represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.
This item is available to borrow from 1 library branch.
 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
 Language
 eng
 Extent
 1 online resource
 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
 Isbn
 9781461436522
 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
 Subject

 BUSINESS & ECONOMICS  Total Quality Management
 Case studies
 Commerce  standards
 Electronic books
 Programming Languages
 Quality Control
 R (Computer program language)
 R (Computer program language)
 Six sigma (Quality control standard)
 Six sigma (Quality control standard)
 Six sigma (Quality control standard)  Case studies
 Software
 BUSINESS & ECONOMICS  Quality Control
 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
 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
 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
 10.1007/9781461436522
 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
 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
 10.1007/9781461436522
 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
Subject
 BUSINESS & ECONOMICS  Total Quality Management
 Case studies
 Commerce  standards
 Electronic books
 Programming Languages
 Quality Control
 R (Computer program language)
 R (Computer program language)
 Six sigma (Quality control standard)
 Six sigma (Quality control standard)
 Six sigma (Quality control standard)  Case studies
 Software
 BUSINESS & ECONOMICS  Quality Control
Genre
Member of
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