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Six Sigma for organizational excelle...

Muralidharan, K.

Six Sigma for organizational excellencea statistical approach /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Six Sigma for organizational excellenceby K. Muralidharan.
其他題名:	a statistical approach /
作者:	Muralidharan, K.
出版者:	New Delhi :Springer India :2015.
面頁冊數:	xxiv, 622 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Six sigma (Quality control standard)Statistical methods.
電子資源:	http://dx.doi.org/10.1007/978-81-322-2325-2
ISBN:	9788132223252 (electronic bk.)

Six Sigma for organizational excellencea statistical approach /
Muralidharan, K.

Six Sigma for organizational excellencea statistical approach /[electronic resource] :by K. Muralidharan. - New Delhi :Springer India :2015. - xxiv, 622 p. :ill., digital ;24 cm.

Chapter 1. Six Sigma Concepts -- Chapter 2. Six Sigma Project Management -- Chapter 3. Six Sigma Process -- Chapter 4. Understanding Variation -- Chapter 5. Sigma Estimation -- Chapter 6. Sample Size Determination -- Chapter 7. Define Phase -- Chapter 8. Measure Phase -- Chapter 9. Analyze Phase -- Chapter 10. Improve Phase -- Chapter 11. Control Phase -- Chapter 12. Sigma Level Estimation -- Chapter 13. Continuous Improvement -- Chapter 14. Six Sigma Marketing -- Chapter 15. Green Six Sigma -- Chapter 16. Six Sigma: Some Pros and Cons -- Chapter 17. Six Sigma: Some case studies.

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.

ISBN: 9788132223252 (electronic bk.)

Standard No.: 10.1007/978-81-322-2325-2doiSubjects--Topical Terms:

719781
Six sigma (Quality control standard)
--Statistical methods.

LC Class. No.: TS156.17.S59

Dewey Class. No.: 658.4013

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505 0 $a Chapter 1. Six Sigma Concepts -- Chapter 2. Six Sigma Project Management -- Chapter 3. Six Sigma Process -- Chapter 4. Understanding Variation -- Chapter 5. Sigma Estimation -- Chapter 6. Sample Size Determination -- Chapter 7. Define Phase -- Chapter 8. Measure Phase -- Chapter 9. Analyze Phase -- Chapter 10. Improve Phase -- Chapter 11. Control Phase -- Chapter 12. Sigma Level Estimation -- Chapter 13. Continuous Improvement -- Chapter 14. Six Sigma Marketing -- Chapter 15. Green Six Sigma -- Chapter 16. Six Sigma: Some Pros and Cons -- Chapter 17. Six Sigma: Some case studies.
520 $a 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.
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