Six Sigma for Organizational Excellence: A Statistical Approach

✍ Scribed by K. Muralidharan (auth.)

• Publisher: Springer India
• Year: 2015
• Tongue: English
• Leaves: 637
• Edition: 1
• Category: Library

✦ Synopsis

This book discusses the integrated concepts of statistical quality engineering and management tools. It will help readers to understand and apply the concepts of quality through project management and technical analysis, using statistical methods. Prepared in a ready-to-use form, the text will equip practitioners to implement the Six Sigma principles in projects. The concepts discussed are all critically assessed and explained, allowing them to be practically applied in managerial decision-making, and in each chapter, the objectives and connections to the rest of the work are clearly illustrated.

To aid in understanding, the book includes a wealth of tables, graphs, descriptions and checklists, as well as charts and plots, worked-out examples and exercises. Perhaps the most unique feature of the book is its approach, using statistical tools, to explain the science behind Six Sigma project management and integrated in engineering concepts. The material on quality engineering and statistical management tools offers valuable support for undergraduate, postgraduate and research students. The book can also serve as a concise guide for Six Sigma professionals, Green Belt, Black Belt and Master Black Belt trainers.

✦ Table of Contents

Front Matter....Pages i-xxiv
Six Sigma Concepts....Pages 1-18
Six Sigma Project Management....Pages 19-37
Six Sigma Process....Pages 39-48
Understanding Variation....Pages 49-65
Sigma Estimation....Pages 67-80
Sample Size Determination....Pages 81-97
Define Phase....Pages 99-122
Measure Phase....Pages 123-235
Analyze Phase....Pages 237-362
Improve Phase....Pages 363-424
Control Phase....Pages 425-500
Sigma Level Estimation....Pages 501-515
Continuous Improvement....Pages 517-532
Marketing Six Sigma....Pages 533-547
Green Six Sigma....Pages 549-557
Six Sigma: Some Pros and Cons....Pages 559-568
Six Sigma: Some Case Studies....Pages 569-582
Back Matter....Pages 583-622

✦ Subjects

Statistical Theory and Methods; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences; Statistics for Business/Economics/Mathematical Finance/Insurance; Project Management