Variation Risk Management: Focusing Quality Improvements in Product Development and ProductionJohn Wiley & Sons, 2003 M11 5 - 320 pages "A thoughtful, complete, and very readable approach to robust engineering. It presents insights that correlate with those learned at Ford while developing and executing Design for Six Sigma. Having this book three years ago could’ve helped with that effort."–David Amos, DFSS Deployment Director, Ford Motor Company Written by Anna C. Thornton, the well-known author who coined the phrase "variation risk management," this comprehensive book presents new methods and implementation strategies based on her research of industry practices and her personal experience with such companies as The Boeing Company, Eastman Kodak Company, Ford Motor Company, Johnson & Johnson, and many others. Step-by-step guidelines show how you can implement and apply variation risk management to real-world problems within the existing systems of an organization. |
Contents
Basics of Variation Risk Management 121 | 11 |
Identification 33 | 33 |
Identification Procedure | 63 |
Assessment of Defect Rates | 76 |
Assessment of Cost and Risk | 102 |
Mitigation | 137 |
Integration of Variation Risk Management with | 165 |
Roles and Responsibilities in Variation | 193 |
Planning and Implementing a Variation | 209 |
Summary | 223 |
Appendix B Process Capability Databases | 231 |
The Right Data | 245 |
Other Initiatives | 253 |
Summary of Process Diagrams | 269 |
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Common terms and phrases
addition aircraft analysis and/or applied approach assembly KCs cause chapter Contamination contributors cost of variation create critical system requirements customer complaint customer requirements defect rate design of experiments determine dimensions Document engineering ensure evaluate example existing products expected variation Figure FMEA functional groups gate reviews Gaussian distribution holistic view House of Quality identify impact of variation implementation improve input inspection issues key characteristics leak loss function luer lock manufacturing processes mean shift measure methods mitigation strategies needle organization output percent performance phase predict previous designs printed circuit boards prioritize process capability data process capability database process KCs product development process product KCs projects provides quality control plan quantify quantitative rework robust scrap sensitive to variation significant Six Sigma specific suppliers tion transition to production typically variation flowdown variation model variation risk management VRM methodology yield
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