Six Sigma for Organizational Excellence

A Statistical Approach

  • K. Muralidharan

Table of contents

  1. Front Matter
    Pages i-xxiv
  2. K. Muralidharan
    Pages 1-18
  3. K. Muralidharan
    Pages 19-37
  4. K. Muralidharan
    Pages 39-48
  5. K. Muralidharan
    Pages 49-65
  6. K. Muralidharan
    Pages 67-80
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    Pages 81-97
  8. K. Muralidharan
    Pages 99-122
  9. K. Muralidharan
    Pages 123-235
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    Pages 237-362
  11. K. Muralidharan
    Pages 363-424
  12. K. Muralidharan
    Pages 425-500
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    Pages 501-515
  14. K. Muralidharan
    Pages 517-532
  15. K. Muralidharan
    Pages 533-547
  16. K. Muralidharan
    Pages 549-557
  17. K. Muralidharan
    Pages 559-568
  18. K. Muralidharan
    Pages 569-582
  19. Back Matter
    Pages 583-622

About this book

Introduction

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.

Keywords

Green Six Sigma Process mapping Project management SWOT analysis Six Sigma concepts Statistical process control

Authors and affiliations

  • K. Muralidharan
    • 1
  1. 1.Dept. of Statistics, Faculty of ScienceM. S. University of BarodaVadodaraIndia

Bibliographic information