| Description |
1 online resource (xiii, 250 pages) : illustrations |
|
text file |
| Bibliography |
Includes bibliographical references and index. |
| Contents |
pt. I. Overview of the Six Sigma process and the DMAIC roadmap -- Ch. 1. Six Sigma methodology and management's role in implementation -- Ch. 2. DMAIC : the basic Six Sigma roadmap -- pt. II. Qualitative Six Sigma tools -- Ch. 3. Simplified QFD -- Ch. 4. Simplified FMEA -- Ch. 5. Cause-and-effect fishbone diagram -- Ch. 6. Simplified process flow diagram -- Ch. 7. Correlation tests -- pt. III. Foundations for using statistical Six Sigma tools -- Ch. 8. Getting good samples and data -- Ch. 9. Simplified gauge verification -- Ch. 10. Probability -- Ch. 11. Data plots and distributions -- pt. IV. Six Sigma tools to test for statistically significant change -- Ch. 12. Testing for statistically significant change using variables data -- Ch. 13. Testing for statistically significant change using proportional data -- Ch. 14. Testing for statistically significant change using non-normal distributions -- pt. V. Additional Six Sigma tools -- Ch. 15. Simplified design of experiments -- Ch. 16. Simplified control charts -- pt. VI. Statistical tools for design for Six Sigma -- Ch. 17. What tolerance is really required? -- Ch. 18. Simplified linear transfer functions -- pt. VII. Six Sigma data and quality management data -- Ch. 19. Comparing Six Sigma data with quality department data. |
| Summary |
Annotation The first plain-English guide to solving real-world problems with Six Sigma So you're ready to improve your processes and products and satisfy your customers through Six Sigma--but you're not looking forward to navigating complicated statistics in order to get results. Now, Warren Brussee, a veteran Six Sigma manager who helped his teams generate millions of dollars in savings, explains how to use the powerful statistical tools of Six Sigma in easy-to-understand language. In this step-by-step guide, you get 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 for projects and process improvements. You'll see how to plot, interpret, and validate data for a Six Sigma project. You will use Excel to make Six Sigma problem-solving calculations in a wide range of areas, from sales and marketing to manufacturing, process work, equipment design, and more. Each chapter also features a brief review of what you've learned. Plus, you get: 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 cost-saving improvements right away. With all these benefits and authoritative guidance, "Statistics for Six Sigma Made Easy is the only reference you need to facilitate real-world application of Six Sigma tools |
| Subject |
Process control.
|
|
Fabrication -- Contrôle. |
|
Process control. |
|
Process control |
|
Contrôle de qualité |
|
Contrôle du processus. |
|
Six Sigma. |
| Other Form: |
Print version: Brussee, Warren. Statistics for Six Sigma made easy!. New York : McGraw-Hill, ©2004 0071433856 (DLC) 2004008157 (OCoLC)54974345 |
| ISBN |
0071471383 (electronic bk.) |
|
9780071471381 (electronic bk.) |
|
0071502025 |
|
9780071502023 |
|
9780071433853 |
|
0071433856 |
|
1280244836 |
|
9781280244834 |
|
9786610244836 |
|
6610244839 |
|
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