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Catalogue Information
Field name	Details
Dewey Class	519.5
Title	Six Sigma with R ([Ebook]) : Statistical Engineering for Process Improvement / by Emilio L. Cano, Javier M. Moguerza, Andrés Redchuk.
Author	Cano, Emilio L.
Added Personal Name	Moguerza, Javier M.
Added Personal Name	Redchuk, Andrés
Other name(s)	SpringerLink (Online service)
Publication	New York, NY : Springer,
Publication	, 2012.
Physical Details	XXX, 284 pages. 104 illus., 26 illus. in color. : online resource.
Series	Use R ; 36
ISBN	9781461436522
Summary Note	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. Â 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.:
Contents note	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.
System details note	Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
Internet Site	http://dx.doi.org/10.1007/978-1-4614-3652-2
Links to Related Works	Subject References: Economics . Mathematical Statistics . Statistics . Statistics and Computing/Statistics Programs . Statistics for Business/Economics/Mathematical Finance/Insurance . Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences . Statistics for Life Sciences, Medicine, Health Sciences . Statistics, general . Authors: author . Cano, Emilio L. . Moguerza, Javier M. . Redchuk, Andrés . Corporate Authors: SpringerLink (Online service) . Series: Use R . Classification: 519.5 . 519.5 (DDC 23) .

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Six Sigma with R: Statistical Engineering for Process Improvement

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