Reliability: Modeling, Prediction, and Optimization

✍ Scribed by Wallace R. Blischke, D. N. Prabhakar Murthy(auth.)

• Year: 2000
• Tongue: English
• Leaves: 825
• Series: Wiley Series in Probability and Statistics
• Category: Library

✦ Synopsis

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.Content:
Chapter 1 An Overview (pages 1–29):
Chapter 2 Illustrative Cases and Data Sets (pages 31–64):
Chapter 3 Collection and Preliminary Analysis of Failure Data (pages 65–92):
Chapter 4 Probability Distributions for Modeling Time to Failure (pages 93–133):
Chapter 5 Basic Statistical Methods for Data Analysis (pages 135–165):
Chapter 6 Modeling Failures at the Component Level (pages 167–200):
Chapter 7 Modeling and Analysis of Multicomponent Systems (pages 201–241):
Chapter 8 Advanced Statistical Methods for Data Analysis (pages 243–285):
Chapter 9 Software Reliability (pages 287–318):
Chapter 10 Design of Experiments and Analysis of Variance (pages 319–373):
Chapter 11 Model Selection and Validation (pages 375–423):
Chapter 12 Reliability Management (pages 425–465):
Chapter 13 Reliability Engineering (pages 467–510):
Chapter 14 Reliability Prediction and Assessment (pages 511–536):
Chapter 15 Reliability Improvement (pages 537–557):
Chapter 16 Maintenance of Unreliable Systems (pages 559–587):
Chapter 17 Warranties and Service Contracts (pages 589–618):
Chapter 18 Reliability Optimization (pages 619–658):
Chapter 19 Case Studies (pages 659–691):
Chapter 20 Resource Materials (pages 693–724):