Reliability: Modeling, Prediction, and Optimization

ISBN-13: 9780471184508 / Angielski / Twarda / 2000 / 850 str.

Wallace R. Blischke; D. N. P. Murthy

Opis

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.

Recenzje

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)

Spis treści

CONTEXT OF RELIABILITY ANALYSIS.

An Overview.

Illustrative Cases and Data Sets.

BASIC RELIABILITY METHODOLOGY.

Collection and Preliminary Analysis of Failure Data.

Probability Distributions for Modeling Time to Failure.

Basic Statistical Methods for Data Analysis.

RELIABILITY MODELING, ESTIMATION, AND PREDICTION.

Modeling Failures at the Component Level.

Modeling and Analysis of Multicomponent Systems.

Advanced Statistical Methods for Data Analysis.

Software Reliability.

Design of Experiments and Analysis of Variance.

Model Selection and Validation.

RELIABILITY MANAGEMENT, IMPROVEMENT, AND OPTIMIZATION.

Reliability Management.

Reliability Engineering.

Reliability Prediction and Assessment.

Reliability Improvement.

Maintenance of Unreliable Systems.

Warranties and Service Contracts.

Reliability Optimization.

EPILOGUE.

Case Studies.

Resource Materials.

Appendices.

References.

Indexes.

O autorze

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.

Blurb

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