Six sigma for organizational excellence : a statistical approach / K. Muralidharan.
Publication details: New Delhi : Springer, 2015.Description: xxiv, 622 p. : illustrations ; 25 cmISBN:- 9788132223245
- 658.4013 23 M972
Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
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Books | ISI Library, Kolkata | 658.4013 M972 (Browse shelf(Opens below)) | Available | 137123 |
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658.4013 K96 Six sigma best practices | 658.4013 M123 Six sigma for sustainability | 658.4013 M447 Quality management | 658.4013 M972 Six sigma for organizational excellence : | 658.4013 R672 Building quality management systems : | 658.4013 R929 Encyclopedia of statistics in quality and reliability | 658.4013 R929 Encyclopedia of statistics in quality and reliability |
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 hep 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.
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