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
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.
"The person reading this book will need to have an elementary
understanding of statistics.These chapters focuses on the future of
reliability and how this will impact us all in the various
industries. Machine learning will also play a big part in the
future of industries; this also is mentioned. For anyone studying a
reliability field, this book is a must. A+"(Jacque van der
Westhuizen, RAM Specialist-Sasol)"Engineers and managers working in
industries that utilize reliability methods on a regular basis
should find this book useful. These chapters explain the "what and
why" for applying reliability methods to real problems. The text is
extremely clear, especially for such a technical topic. It is
written for non-specialists, and is well-written for this
audience…I would recommend publication, because I found this to be
unique material, which would be of significant practical
usefulness. Further, each of the authors is well-known in the
field, adding further credibility to the work." (Roger Hoerl, Union
College)"The book will be of interest to academics and
practitioners alike. For academics the book provides a broader
range of applications of statistics in practice and industry. The
way the authors discussed the examples are pitched at the right
level for post-graduate engineering students to understand the
importance of statistical thinking in reliability studies, and also
for statistics students to provide an understanding of the
practical side of data analysis for reliability related problems."
(Roelof Coetzer, Data Science Group, Sasol South Africa)"This is a
well-written book which provides good insight into the statistical
challenges and opportunities for successfully achieving product
reliability for individuals who have completed at least the
introductory course(s) in statistics. The target audience will
include STEM students and academicians, business managers and
professionals, engineers and others. Given the authors’ goal of
attracting a broad audience, they present a wide array of
real-world applications related to locomotives, aircraft engines,
automobiles, medicine, and household appliance, etc." (Carolyn
Morgan, MECK, Limited LLC)
"I thoroughly enjoyed reading Achieving Product Reliability, and
recommend it to engineers, technical and management level, and
statisticians, both lecturers and research fellows, who are
interested in reliability theory and data analysis." (Roelof L.J.
Coetzer, Technometrics, 63:4, 5629564)"The person reading this book
will need to have an elementary understanding of statistics.These
chapters focuses on the future of reliability and how this will
impact us all in the various industries. Machine learning will also
play a big part in the future of industries; this also is
mentioned. For anyone studying a reliability field, this book is a
must. A+"(Jacque van der Westhuizen, RAM
Specialist-Sasol)"Engineers and managers working in industries that
utilize reliability methods on a regular basis should find this
book useful. These chapters explain the "what and why" for applying
reliability methods to real problems. The text is extremely clear,
especially for such a technical topic. It is written for
non-specialists, and is well-written for this audience…I would
recommend publication, because I found this to be unique material,
which would be of significant practical usefulness. Further, each
of the authors is well-known in the field, adding further
credibility to the work." (Roger Hoerl, Union College)"The book
will be of interest to academics and practitioners alike. For
academics the book provides a broader range of applications of
statistics in practice and industry. The way the authors discussed
the examples are pitched at the right level for post-graduate
engineering students to understand the importance of statistical
thinking in reliability studies, and also for statistics students
to provide an understanding of the practical side of data analysis
for reliability related problems." (Roelof Coetzer, Data Science
Group, Sasol South Africa)"This is a well-written book which
provides good insight into the statistical challenges and
opportunities for successfully achieving product reliability for
individuals who have completed at least the introductory course(s)
in statistics. The target audience will include STEM students and
academicians, business managers and professionals, engineers and
others. Given the authors’ goal of attracting a broad audience,
they present a wide array of real-world applications related to
locomotives, aircraft engines, automobiles, medicine, and household
appliance, etc." (Carolyn Morgan, MECK, Limited LLC)
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