- ホーム
- > 洋書
- > 英文書
- > Business / Economics
Full Description
Are you buying a car or smartphone or dishwasher? We bet long-term, trouble-free operation (i.e., high reliability) is among the top three things you look for. Reliability problems can lead to everything from minor inconveniences to human disasters. Ensuring high reliability in designing and building manufactured products is principally an engineering challenge-but statistics plays a key role.
Achieving Product Reliability explains in a non-technical manner how statistics is used in modern product reliability assurance.
Features:
Describes applications of statistics in reliability assurance in design, development, validation, manufacturing, and field tracking.
Uses real-life examples to illustrate key statistical concepts such as the Weibull and lognormal distributions, hazard rate, and censored data.
Demonstrates the use of graphical tools in such areas as accelerated testing, degradation data modeling, and repairable systems data analysis.
Presents opportunities for profitably applying statistics in the era of Big Data and Industrial Internet of Things (IIoT) utilizing, for example, the instantaneous transmission of large quantities of field data.
Whether you are an intellectually curious citizen, student, manager, budding reliability professional, or academician seeking practical applications, Achieving Product Reliability is a great starting point for a big-picture view of statistics in reliability assurance.
The authors are world-renowned experts on this topic with extensive experience as company-wide statistical resources for a global conglomerate, consultants to business and government, and researchers of statistical methods for reliability applications.
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
