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Statistics for Six Sigma made easy! /
Annotation
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
New York :
McGraw-Hill,
©2004.
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Brussee, Warren. | |
| 245 | 1 | 0 | |a Statistics for Six Sigma made easy! / |c by Warren Brussee. |
| 260 | |a New York : |b McGraw-Hill, |c ©2004. | ||
| 300 | |a 1 online resource (xiii, 250 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file | ||
| 504 | |a Includes bibliographical references and index. | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a 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. | |
| 520 | 8 | |a Annotation |b 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 | |
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Process control. | |
| 650 | 6 | |a Fabrication |x Contrôle. | |
| 650 | 7 | |a BUSINESS & ECONOMICS |x Quality Control. |2 bisacsh | |
| 650 | 7 | |a TECHNOLOGY & ENGINEERING |x Quality Control. |2 bisacsh | |
| 650 | 0 | 7 | |a Process control. |2 cct |
| 650 | 7 | |a Process control |2 fast | |
| 650 | 7 | |a Contrôle de qualité |2 rasuqam | |
| 650 | 7 | |a Contrôle du processus. |2 rasuqam | |
| 650 | 7 | |a Six Sigma. |2 rasuqam | |
| 776 | 0 | 8 | |i Print version: |a Brussee, Warren. |t Statistics for Six Sigma made easy!. |d New York : McGraw-Hill, ©2004 |z 0071433856 |w (DLC) 2004008157 |w (OCoLC)54974345 |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9780071433853/?ar |z Texto completo (Requiere registro previo con correo institucional) |
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