Six Sigma for Organizational Excellence [electronic resource] : A Statistical Approach / by K. Muralidharan.

By:

Muralidharan, K [author.]

Contributor(s):

SpringerLink (Online service)

Material type: Text

TextPublication details: Springer 2015Description: xxiv, 622 pagesISBN:

9788132223245 (print)

Subject(s):

Additional physical formats: Printed edition:: No titleDDC classification:

658.4013 519.5 23 41773

LOC classification:

QA276-280

Online resources:

Full text available from SpringerLINK ebooks - Mathematics and Statistics (2015)

Contents:

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. .

In: Springer eBooksSpringerLINK ebooks - Mathematics and Statistics (2015)Summary: 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.

Tags from this library: No tags from this library for this title. Log in to add tags.

Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
Books	Symbiosis International University Central Library	Reference	658.4013/MUR 41773 (Browse shelf(Opens below))	Not For Loan		siu-b-41773

Browsing Symbiosis International University Central Library shelves, Collection: Reference Close shelf browser (Hides shelf browser)

Previous		No cover image available	No cover image available		No cover image available	No cover image available	No cover image available	Next
Previous	658.4013/INT 38826 Integrated performance management :	658.4013 SAX Application of Total Quality Management in Maritime Education and Training	658.4013 / SOW 37582 Essential of quality with cases & experiential exercises (Reference Document)	658.4013/MUR 41773 Six Sigma for Organizational Excellence	658.40203 PFE 9660 ENCYCLOPEDIA OF TEAM BUILDING ACTIVITIES	658.40203 PFE 9661 ENCYCLOPEDIA OF TEAM BUILDING ACTIVITIES	658.403 DIV siu-th-145 Impact of organisational structure on the performance of management institutions in India	Next

License restrictions may limit access.

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.

There are no comments on this title.

to post a comment.