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Reliability: Modeling, Prediction, and Optimization, by Wallace R. Blischke, D. N. Prabhakar Murthy
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Bringing together business and engineering to reliability analysis With manufactured products exploding in numbers and complexity, reliability studies play an increasingly critical role throughout a product's entire life cycle-from design to post-sale support. Reliability: Modeling, Prediction, and Optimization presents a remarkably broad framework for the analysis of the technical and commercial aspects of product reliability, integrating concepts and methodologies from such diverse areas as engineering, materials science, statistics, probability, operations research, and management. Written in plain language by two highly respected experts in the field, this practical work provides engineers, operations managers, and applied statisticians with both qualitative and quantitative tools for solving a variety of complex, real-world reliability problems. A wealth of examples and case studies accompanies:
* Comprehensive coverage of assessment, prediction, and improvement at each stage of a product's life cycle
* Clear explanations of modeling and analysis for hardware ranging from a single part to whole systems
* Thorough coverage of test design and statistical analysis of reliability data
* A special chapter on software reliability
* Coverage of effective management of reliability, product support, testing, pricing, and related topics
* Lists of sources for technical information, data, and computer programs
* Hundreds of graphs, charts, and tables, as well as over 500 references
* PowerPoint slides are available from the Wiley editorial department.
- Sales Rank: #2353737 in Books
- Published on: 2000-03-27
- Original language: English
- Number of items: 1
- Dimensions: 9.27" h x 1.75" w x 6.32" l, 2.95 pounds
- Binding: Hardcover
- 848 pages
Review
This book provides a comprehensive overview of both qualitative and quantitative aspects of reliability. Mathematical and statistical concepts related to reliability modeling and analysis are presented along with important bibliography and a listing of resources which includes journals, reliability standards, other publications, and databases. The coverage of individual topics is not always deep, but this should be a valuable reference for any engineer or statisticial working in reliability. (Short Book Reviews, Vol.20, No. 3, December 2000)
"...this should be a valuable reference for any engineer or statistician working in reliability." (Short Book Reviews, Vol. 20, No. 3, December 2000)
This book presents a remarkably broad framework for the analysis of the technical and commercial aspects of product reliability.... Written by two highly respected experts in the field, this practical work provides engineers, operations managers, and applied statisticians with both qualitative and quantitative tools for solving a variety of complex, real-world reliability problems. (Zentralblatt Math, Volume 945, No 20, 2000)
"...a comprehensive overview..." (Short Book Reviews, December 2000)
"...an excellent textbook for an advanced course in biostatistics and also an indispensable reference for biostatisticians and epidemiologists" (Short Book Reviews, December 2000)
"...an excellent book, distinguished by excellence of exposition, breadth and comprehensiveness of topical overage, relevance, number and importance of examples, depth of references, and quality of exercises...will become one of the standard references on reliability...so comprehensive...it would provide material for more than a two-semester graduate sequence...will find a warm welcome in the best graduate programs. I strongly recommend it." (Technometrics, Vol. 43, No. 4, November 2001)
"I would recommend this book to practitioners and as a graduate level book." (Journal of the American Statistical Association, December 2001)
From the Back Cover
Bringing together business and engineering to reliability analysis With manufactured products exploding in numbers and complexity, reliability studies play an increasingly critical role throughout a product's entire life cycle-from design to post-sale support. Reliability: Modeling, Prediction, and Optimization presents a remarkably broad framework for the analysis of the technical and commercial aspects of product reliability, integrating concepts and methodologies from such diverse areas as engineering, materials science, statistics, probability, operations research, and management. Written in plain language by two highly respected experts in the field, this practical work provides engineers, operations managers, and applied statisticians with both qualitative and quantitative tools for solving a variety of complex, real-world reliability problems. A wealth of examples and case studies accompanies:
* Comprehensive coverage of assessment, prediction, and improvement at each stage of a product's life cycle
* Clear explanations of modeling and analysis for hardware ranging from a single part to whole systems
* Thorough coverage of test design and statistical analysis of reliability data
* A special chapter on software reliability
* Coverage of effective management of reliability, product support, testing, pricing, and related topics
* Lists of sources for technical information, data, and computer programs
* Hundreds of graphs, charts, and tables, as well as over 500 references
About the Author
WALLACE R. BLISCHKE, PhD, Statistics, is Professor Emeritus, Marshall School of Business, University of Southern California.
D. N. PRABHAKAR MURTHY, PhD, is Professor of Engineering and Operations Management at the University of Queensland, St. Lucia, Australia.
Most helpful customer reviews
30 of 31 people found the following review helpful.
modern and practical
By Michael R. Chernick
This text is an extensive and modern treatment of reliability with many practical case studies. It covers many of the standard topics including most of the topics covered in the recent book by Meeker and Escobar (1998) "Statistical Methods for Reliability Data". It is unique in its coverage of warranties (Chapter 17). These authors are very knowledgeable about the literature on warranty analysis and have edited the Product Warranty Handbook published by Marcel Dekker in 1996 and published their own text dedicated solely to that topic ("Warranty Cost Analysis" published by Marcel Dekker in 1994). Emphasis is placed on case studies which are discussed up front in the Overview chapter and treated in detail in Chapter 19.
0 of 0 people found the following review helpful.
Product arrived exactly as advertised
By Adam Emery
Condition of the product is as stated in the product description or better. Text appears to be of outstanding quality and research and I would recommend it to anyone in a Warranty Management/Engineering role, or for graduate students looking for a bit of relevant real-world exposure in the ever under-valued warranty sector of business.
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