Format:
Online-Ressource (XXX, 284 p. 104 illus., 26 illus. in color, digital)
ISBN:
9781461436522
Series Statement:
Use R! 36
Content:
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.
Content:
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.
Note:
Description based upon print version of record
,
Six Sigma with R; Foreword; Preface; Acknowledgements; Contents; List of Figures; List of Tables; Acronyms; Part I Basics; Chapter 1 Six Sigma in a Nutshell; 1.1 Introduction; 1.2 Brief History; 1.3 What Is Six Sigma?; 1.4 DMAIC Cycle; 1.4.1 Define Phase; 1.4.2 Measure Phase; 1.4.3 Analyze Phase; 1.4.4 Improve Phase; 1.4.5 Control Phase; 1.5 Six Sigma Operational Structure; 1.6 Summary and Further Reading; Case Study; Chapter 2 R from the Beginning; 2.1 Introduction; 2.2 First Steps; 2.2.1 Get and Install; 2.2.2 Run and Interact; 2.2.3 Ask for Help; 2.3 Coping with Data; 2.3.1 Data Types
,
2.3.2 Creating Data Objects2.3.3 Accessing Data; 2.3.4 Importing and Exporting Data; 2.4 Objects and Functions; 2.4.1 Objects; 2.4.2 Functions; 2.5 Operators and Functions Commonly Used; 2.5.1 Operators; 2.5.2 Mathematical Functions; 2.5.3 Functions for Vectors; 2.5.4 Loop and Summary Functions; 2.6 Graphics in R; 2.6.1 Plotting Functions; 2.6.2 Bivariate Plots; 2.6.3 Pie Plots; 2.7 Statistics; 2.7.1 Samples and Combinatorial Computations; 2.7.2 Random Variables; 2.8 Summary and Further Reading; Case Study; Practice; Part II R Tools for the Define Phase; Chapter 3 Process Mapping with R
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3.1 Introduction3.2 Process Mapping as a Problem-solving Method; 3.3 Strategies for Process Mapping; 3.3.1 Two-stage Process Mapping; 3.3.2 Drilling Down into the Process Steps; 3.4 Step-by-Step Process Mapping; 3.4.1 Identifying Inputs and Outputs; 3.4.2 Listing the Project Steps; 3.4.3 Identifying the Outputs of Each Step; 3.4.4 Identifying the Parameters of Each Step; 3.4.5 Classifying the Parameters; 3.5 Drawing a Process Map with the Six Sigma Package; 3.6 Why Should I Use R for Drawing Diagrams?; 3.7 Summary and Further Reading; Case Study; Practice
,
Chapter 4 Loss Function Analysis with R4.1 Introduction; 4.2 Cost of Poor Quality; 4.3 Modeling the Loss Function; 4.3.1 Some Notation; 4.3.2 Taguchi Loss Function; 4.4 Average Loss Function; 4.5 Use of Loss Function Within DMAIC Cycle; 4.6 Loss Function Analysis with Six Sigma Package; 4.7 Other Models; 4.8 Summary and Further Reading; Case Study; Practice; Part III R Tools for the Measure Phase; Chapter 5 Measurement System Analysis with R; 5.1 Introduction; 5.1.1 Definitions; 5.2 Data Analysis; 5.2.1 Data Collection; 5.2.2 First Approach to Analysis of Variance (ANOVA)
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5.2.3 Assessing the Measurement System5.3 Using the SixSigma Package; 5.3.1 Interpreting the Charts; 5.4 Summary and Further Reading; Case Study; Practice; Chapter 6 Pareto Analysis with R; 6.1 Introduction; 6.2 Pareto Principle; 6.2.1 Pareto Principle as a Problem-solving Technique; 6.3 Pareto Analysis in Six Sigma; 6.3.1 Identifying Causes; 6.3.2 Measuring the Effect; 6.3.3 Building a Pareto Chart; 6.4 Pareto Charts in R; 6.5 Other Uses of the Pareto Chart; 6.6 Summary and Further Reading; Case Study; Practice; Chapter 7 Process Capability Analysis with R; 7.1 Introduction
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7.2 Specifications
Additional Edition:
ISBN 9781461436515
Additional Edition:
Buchausg. u.d.T. Cano, Emilio L. Six sigma with R New York : Springer, 2012 ISBN 9781461436515
Additional Edition:
ISBN 1461436516
Language:
English
Subjects:
Computer Science
,
Economics
Keywords:
Six Sigma
;
Qualitätsmanagement
;
R
DOI:
10.1007/978-1-4614-3652-2
URL:
Volltext
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URL:
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