Fr. 150.00

Achieving Product Reliability - A Key to Business Success

English · Hardback

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Description

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Readers who are interested in learning how statistics is used to solve real-life reliability problems. Real-life examples and case studies to illustrate applications of statistics with heavy reliance of data and analysis graphs to provide a general appreciation of the subject. Only a rudimentary of some basic statistical concepts is assumed.

List of contents

Contents
Preface, xv
Acknowledgments, xxi
Author Biographies, xxiii
Chapter 1 ▪ Reliability and the Role of Statistics:
An Introduction 1
Chapter 2 ▪ System Reliability Evaluation of a
Conceptual Design 27
Chapter 3 ▪ Product Reliability Development 51
Chapter 4 ▪ Reliability Validation 87
Chapter 5 ▪ Reliability Assurance in Manufacturing 111
Chapter 6 ▪ Field Reliability Tracking 143
Chapter 7 ▪ A Peek into the Future 173
Chapter 8 ▪ Statistical Concepts and Tools for
Product Lifetime Data Analysis 191
MAJOR TAKEAWAYS 214
REFERENCES AND ADDITIONAL RESOURCES 215
INDEX, 217

About the author

Dr. Necip Doganaksoy is an associate professor at the School of Business of Siena College, following a 26-year career in industry, mostly at General Electric (GE).
Dr. William Q. Meeker is a professor of statistics and distinguished professor of liberal arts and sciences at Iowa State University and a frequent consultant to industry.
Dr. Gerald J. Hahn is a retired manager of statistics at GE Global Research after a 46-year career at GE.
All three authors are Fellows of the American Society for Quality and the American Statistical Association, elected members of the International Statistical Institute, authors of three or more books, and recipients of numerous prestigious professional awards.

Summary

Readers who are interested in learning how statistics is used to solve real-life reliability problems. Real-life examples and case studies to illustrate applications of statistics with heavy reliance of data and analysis graphs to provide a general appreciation of the subject. Only a rudimentary of some basic statistical concepts is assumed.

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