Statistical and Managerial Techniques for Six Sigma Methodology
Theory and Application
Nonfiction, Science & Nature, Mathematics, Statistics
| Author: | Stefano Barone, Eva Lo Franco | ISBN: | 9781119940241 |
| Publisher: | Wiley | Publication: | January 17, 2012 |
| Imprint: | Wiley | Language: | English |
| Author: | Stefano Barone, Eva Lo Franco |
| ISBN: | 9781119940241 |
| Publisher: | Wiley |
| Publication: | January 17, 2012 |
| Imprint: | Wiley |
| Language: | English |
Six Sigma methodology is a business management strategy which seeks to improve the quality of process output by identifying and removing the causes of errors and minimizing variability in manufacturing and business processes. This book examines the Six Sigma methodology through illustrating the most widespread tools and techniques involved in Six Sigma application. Both managerial and statistical aspects are analysed allowing the reader to apply these tools in the field. Furthermore, the book offers insight on variation and risk management and focuses on the structure and organizational aspects of Six Sigma projects.
Key features:
• Presents both statistical and managerial aspects of Six Sigma, covering both basic and more advanced statistical techniques.
• Provides clear examples and case studies to illustrate the concepts and methodologies used in Six Sigma.
• Written by experienced authors in the field.
This textbook is ideal for graduates studying Six Sigma for Black Belt and Green Belt qualifications as well as for engineering and quality management courses. Business consultants and consultancy firms implementing Six Sigma will also benefit from this book.
Six Sigma methodology is a business management strategy which seeks to improve the quality of process output by identifying and removing the causes of errors and minimizing variability in manufacturing and business processes. This book examines the Six Sigma methodology through illustrating the most widespread tools and techniques involved in Six Sigma application. Both managerial and statistical aspects are analysed allowing the reader to apply these tools in the field. Furthermore, the book offers insight on variation and risk management and focuses on the structure and organizational aspects of Six Sigma projects.
Key features:
• Presents both statistical and managerial aspects of Six Sigma, covering both basic and more advanced statistical techniques.
• Provides clear examples and case studies to illustrate the concepts and methodologies used in Six Sigma.
• Written by experienced authors in the field.
This textbook is ideal for graduates studying Six Sigma for Black Belt and Green Belt qualifications as well as for engineering and quality management courses. Business consultants and consultancy firms implementing Six Sigma will also benefit from this book.
