The Practitioner's Guide to Statistics and Lean Six Sigma for Process Improvements
1. Edition January 2010
832 Pages, Hardcover
Wiley & Sons Ltd
Short Description
The only textbook of its kind, this authoritative account provides a balanced approach to quantitative and qualitative statistics using the Six Sigma and Lean Six Sigma methodologies. The emphasis is on applications and the implementation of data analyses as they relate to Six Sigma. The primary purpose of the book is to serve as a reference guide and textbook for both experienced practitioners and new students of Six Sigma. The book includes plentiful examples, exercises, and case studies based on real data and real-life analytical and business problems. It is written by a broad spectrum of academic and industry professionals.
This hands-on book presents a complete understanding of Six Sigma and Lean Six Sigma through data analysis and statistical concepts
In today's business world, Six Sigma, or Lean Six Sigma, is a crucial tool utilized by companies to improve customer satisfaction, increase profitability, and enhance productivity. Practitioner's Guide to Statistics and Lean Six Sigma for Process Improvements provides a balanced approach to quantitative and qualitative statistics using Six Sigma and Lean Six Sigma methodologies.
Emphasizing applications and the implementation of data analyses as they relate to this strategy for business management, this book introduces readers to the concepts and techniques for solving problems and improving managerial processes using Six Sigma and Lean Six Sigma. Written by knowledgeable professionals working in the field today, the book offers thorough coverage of the statistical topics related to effective Six Sigma and Lean Six Sigma practices, including:
* Discrete random variables and continuous random variables
* Sampling distributions
* Estimation and hypothesis tests
* Chi-square tests
* Analysis of variance
* Linear and multiple regression
* Measurement analysis
* Survey methods and sampling techniques
The authors provide numerous opportunities for readers to test their understanding of the presented material, as the real data sets, which are incorporated into the treatment of each topic, can be easily worked with using Microsoft Office Excel(r), Minitab(r), MindPro(r), or Oracle's Crystal Ball(r) software packages. Examples of successful, complete Six Sigma and Lean Six Sigma projects are supplied in many chapters along with extensive exercises that range in level of complexity. The book is accompanied by an extensive FTP site that features manuals for working with the discussed software packages along with additional exercises and data sets. In addition, numerous screenshots and figures guide readers through the functional and visual methods of learning Six Sigma and Lean Six Sigma.
Practitioner's Guide to Statistics and Lean Six Sigma for Process Improvements is an excellent book for courses on Six Sigma and statistical quality control at the upper-undergraduate and graduate levels. It is also a valuable reference for professionals in the fields of engineering, business, physics, management, and finance.
References.
Glossary.
Chapter 2 Six Sigma Installation.
References.
Glossary.
Chapter 3 Lean Six Sigma Projects.
References.
Glossary.
Chapter 4 Lean Practices.
References .
Glossary.
Chapter 5 Value Stream Mapping.
References.
Glossary.
Chapter 6 Introductory Statistics and Data.
References.
Glossary.
Chapter 7 Quality Tools.
Reference.
Glossary.
Chapter 8 Making Sense of Data in Six Sigma and Lean.
Glossary.
Chapter 9 Fundamentals of Capability and Rolled Throughput Yield.
Glossary.
References.
Chapter 10 Probability.
Glossary.
Chapter 11 Discrete Random Variables and Their Probability Distributions.
Glossary.
Chapter 12 Continuous Random Variables and Their Distributions.
Glossary.
Chapter 13 Sampling Distributions.
Glossary.
Chapter 14 Single Population Estimation.
Glossary.
Chapter 15 Control Methods.
Glossary.
References.
Chapter 16 Single Population Hypothesis Tests.
Glossary.
Chapter 17 Estimation and Hypothesis Tests: Two Populations.
Independent Samples.
Glossary.
Chapter 18 Chi-Square Tests.
Glossary.
Chapter 19 Analysis of Variance.
Glossary.
Chapter 20 Linear and Multiple Regression.
Glossary.
Chapter 21 Measurement Analysis.
References.
Glossary.
Chapter 22 Fundamentals of Design of Experiments.
References.
Glossary.
Chapter 23 Design for Six Sigma [DFSS], Simulation, and Optimization.
References.
Glossary.
Chapter 24 Survey Methods and Sampling Techniques.
References.
Glossary.
Appendix A: Statistical Tables.
Table I: Table of Binomial Probabilities.
Table II: Standard Normal Distribution Table.
Table III: The t Distribution Table.
Table IV: Chi-Square Distribution Table.
Table V: The F Distribution Table.
Table VI: Critical Values for the Mann-Whitney Test.
Table VII: Critical Values for the Wilcoxon Signed-Rank Test.
Table VIII: Sigma Conversion Table.
Appendix B: Answers to Selected Odd-Numbered Exercises.
Index.