Statistics for Six Sigma Made Easy!
Revised and Expanded
Paperback Engels 2012 2e druk 9780071797535Samenvatting
A PLAIN ENGLISH GUIDE TO SOLVING REAL-WORLD PROBLEMS WITH SIX SIGMA
Six Sigma is one of the most effective strategies for improving processes, creating better products, and boosting customer satisfaction, but business leaders often balk at its reputation for being too complex. Don't fall into that trap. Six Sigma is simple to understand and implement--if you have 'Statistics for Six Sigma Made Easy!'
Warren Brussee has helped businesses save millions of dollars with Six Sigma, and he explains how you can achieve similar results in this step-by-step guide. He presents a thorough overview of the Six Sigma methodology and techniques for successful implementation, as well as a clear explanation of DMAIC--the problem-solving method used by Six Sigma Greenbelts.
Statistics for Six Sigma Made Easy! provides:
- A simplified form of the most common Six Sigma tools
- All the basic Six Sigma formulas and tables
- Dozens of Six Sigma statistical problem-solving case studies
- A matrix for finding the right statistical tool to meet your needs
- Basic Greenbelt training in one concise reference
Best of all, no background in statistics is required--you can start improving quality and initiating costsaving improvements right away. Statistics for Six Sigma Made Easy! is the only reference you need to facilitate real-world application of Six Sigma tools.
Specificaties
Lezersrecensies
Inhoudsopgave
Introduction
Part 1: Overview of the Six Sigma Process and the DMAIC Road Map
Part 2: Qualitative Six Sigma tools
Part 3: Foundations for using statistical Six sigma tools
Part 4: Six Sigma tools to test for statistically
Part 5: Additional Six Sigma tools
Part 6: Statistical tools for Design for Six Sigma
Part 7: Quality Department Data and manufacturing innovation
Appendix A: The Six Sigma statistical tool finder matrix
Appendix B: Six Sigma statistical tool finder matrix
Appendix C: Formulas used in this book
Appendix D: Tables used in this book
Appendix E: Glossary of terms
Index
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