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.
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"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)