Reliability: Modeling, Prediction, and Optimization

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John Wiley & Sons, 2000 - Mathematics - 812 pages
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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.
 

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Rcm -chap 16

Contents

5 Liquid Rocket Engine
8
1llustrative Cases and Data Sets
31
BAS1C REL1ABlL1TY METHODOLOGY
67
Probability Distributions for Modeling Time to Failure
93
Basic Statistical Methods for Data Analysis
135
REL1AB1L1TY MODEL1NG ESTlMAT1ON AND PRED1CT1ON
169
Modeling and Analysis of Multicomponent Systems
201
Advanced Statistical Methods for Data Analysis
243
Maintenance of Unreliable Systems
559
Warranties and Service Contracts
589
137
609
Reliability Optimization
619
Case Studies
661
Resource Materials
693
Appendix A Probability
725
Appendix B 1ntroduction to Stochastic Processes
735

Software Reliability
287
Design of Experiments and Analysis of Variance
319
Model Selection and Validation
375
Reliability Management
427
Reliability Engineering
467
Reliability Prediction and Assessment
511
Reliability 1mprovement
537
Statistical Tables
749
Basic Results on Stochastic Optimization
763
139
771
Author 1ndex
797
Subject 1ndex
805
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About the author (2000)

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.