Case Studies in Reliability and Maintenance Wiley Series in Probability and Statistics 1st Edition by Wallace Blischke, Prabhakar Murthy ISBN 978-0470232750 0470232750

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ISBN 10: 0470232750 

ISBN 13:  978-0470232750

Author: Wallace R. Blischke, D. N. Prabhakar Murthy
Introducing a groundbreaking companion book to a bestselling reliability text
Reliability is one of the most important characteristics defining the quality of a product or system, both for the manufacturer and the purchaser. One achieves high reliability through careful monitoring of design, materials and other input, production, quality assurance efforts, ongoing maintenance, and a variety of related decisions and activities. All of these factors must be considered in determining the costs of production, purchase, and ownership of a product.
Case Studies in Reliability and Maintenance serves as a valuable addition to the current literature on the subject of reliability by bridging the gap between theory and application. Conceived during the preparation of the editors’ earlier work, Reliability: Modeling, Prediction, and Optimization (Wiley, 2000), this new volume features twenty-six actual case studies written by top experts in their fields, each illustrating exactly how reliability models are applied.
A valuable companion book to Reliability: Modeling, Prediction, and Optimization, or any other textbook on the subject, the book features:
* Case studies from fields such as aerospace, automotive, mining, electronics, power plants, dikes, computer software, weapons, photocopiers, industrial furnaces, granite building cladding, chemistry, and aircraft engines
* A logical organization according to the life cycle of a product or system
* A unified format of discussion enhanced by tools, techniques, and models for drawing one’s own conclusions
* Pertinent exercises for reinforcement of ideas
Of equal value to both students of reliability theory as well as professionals in industry, Case Studies in Reliability and Maintenance should be required reading for anyone seeking to understand how reliability and maintenance issues can be addressed and resolved in the real world.

Table of contents: 

PART A. CASES WITH EMPHASIS ON PRODUCT DESIGN

1. Introduction and Overview
Wallace R. Blischke and D. N. Prabhakar Murthy
1.1. Introduction
1.2. Reliability, Maintenance, Maintainability, and Quality
1.3. History of Reliability and Maintainability
1.4. Applications
1.5. Life Cycle Concepts
1.6. Tools and Techniques for the Study of Reliability
1.7. Reliability and Maintenance Data and Analysis
1.8. Issues in Reliability and Maintenance
1.9. Case Studies: An Overview
References

2. Space Interferometer Reliability-Based Design Evaluation
Donald H. Ebbeler Jr., Kim M. Aaron, George Fox, and W. John Walker
2.1. Introduction
2.2. Problem Description
2.3. Alternative Optical Interferometer Designs
2.4. Evaluation of Alternative Designs
2.5. Interpretations, Conclusions, and Extensions
References
Exercises
Acronyms

3. Confidence Intervals for Hardware Reliability Predictions
Chun Kin Chan and Michael Tortorella
3.1. Introduction
3.2. Approach
3.3. Problem Description
3.4. Reliability Modeling
3.5. Subassembly Hardware Reliability Prediction
3.6. Construction of Component Failure Rate Database
3.7. Comparing Field Reliability Results with Predictions
3.8. Implementation
3.9. Conclusions
References
Exercises

4. Allocation of Dependability Requirements in Power Plant Design
b
4.1. Introduction
4.2. System Characterization
4.3. Modeling Dependability and Requirements
4.4. Allocation of Requirements
4.5. Continued Allocation in the Fault Tree
4.6. Conclusions
References
Exercises

PART B. CASES WITH EMPHASIS ON DEVELOPMENT AND TESTING

5. The Determination of the Design Strength of Granite Used as External Cladding for Buildings
Malcolm J. Faddy, Richard J. Wilson, and Gerry M. Winter
5.1. Introduction
5.2. Properties of Granite
5.3. Reliability Criteria
5.4. Current Practices
5.5. Case Study
5.6. Conclusions
References
Exercises
Appendices A–B

6. Use of Sensitivity Analysis to Assess the Effect of Model Uncertainty in Analyzing Accelerated Life Test Data
William Q. Meeker, Luis A. Escobar, and Stephen A. Zayac
6.1. Introduction
6.2. Weibull Distribution and Initial Data Analysis
6.3. Response Surface Model Analysis
6.4. Effect of Stroke Displacement on Spring Life
6.5. Concluding Remarks
References
Exercises
Appendices A–B

7. Virtual Qualification of Electronic Hardware
Michael Osterman, Abhijit Dasgupta, and Thomas Stadterman
7.1. Introduction
7.2. Automotive Module Case Study
7.3. Summary
References
Exercises

8. Development of a Moisture Soak Model for Surface-Mounted Devices
Loon Ching Tang and Soon Huat Ong
8.1. Introduction
8.2. Experimental Procedure and Results
8.3. The Moisture Soak Model
8.4. Discussion
References
Exercises

9. Construction of Reliable Software in Resource-Constrained Environments
Mladen A. Vouk and Anthony T. Rivers
9.1. Introduction
9.2. Constrained Development
9.3. Model and Metrics
9.4. Case Studies
9.5. Summary
References
Exercises

10. Modeling and Analysis of Software System Reliability
Min Xie, Guan Yue Hong, and Claes Wohlin
10.1. Introduction
10.2. NHPP Software Reliability Growth Models
10.3. Case Study
10.4. Problems and Alternatives
10.5. Case Study (Continued)
10.6. Discussion
References
Exercises

11. Information Fusion for Damage Prediction
Nozer D. Singpurwalla, Yuling Cui, and Chung Wai Kong
11.1. Introduction
11.2. Approach Used
11.3. Binary Random Variable and Test Data
11.4. Physical Parameters and Expert Testimonies
11.5. Information Fusion: A Bayesian Approach
11.6. Data Analysis and Interpretation
11.7. Conclusions
References
Exercises
Appendix

PART C. CASES WITH EMPHASIS ON DEFECT PREDICTION AND FAILURE ANALYSIS

12. Use of Truncated Regression Methods to Estimate the Shelf Life of a Product from Incomplete Historical Data
William Q. Meeker and Luis A. Escobar
12.1. Introduction
12.2. Truncated Data Background
12.3. Truncated Regression Model for the Truncated Product Shelf-Life Data
12.4. Comparison of Truncated and Censored Data Analysis
12.5. Concluding Remarks and Extensions
References
Exercises
Appendix

13. Determining Software Quality Using COQUALMO
Sunita Chulani, Bert M. Steece, and Barry Boehm
13.1. Introduction
13.2. Software Reliability Definitions
13.3. Constructive Quality Model (COQUALMO)
13.4. Case Study
13.5. Conclusions
References
Exercises

14. Use of Extreme Values in Reliability Assessment of Composite Materials
Linda C. Wolstenholme
14.1. Introduction
14.2. Test Data and Background Knowledge
14.3. Model Fitting and Prediction
14.4. Strength Testing
14.5. Discussion
References
Exercises

15. Expert Judgment in the Uncertainty Analysis of Dike Ring Failure Frequency
Roger M. Cooke and Karen A. Slijkhuis
15.1. Introduction
15.2. Uncertainty Analysis
15.3. Expert Judgment Method
15.4. The Dike Ring Expert Judgment Study
15.5. Results
15.6. Conclusions
References
Exercises
Appendix

PART D. CASES WITH EMPHASIS ON MAINTENANCE AND MAINTAINABILITY

16. Component Reliability, Replacement, and Cost Analysis with Incomplete Failure Data
Nicholas A. J. Hastings
16.1. Introduction
16.2. Maintenance Data
16.3. Modeling Failures
16.4. Component Replacement Policy Options
16.5. Planned Replacement Analysis and Costs
16.6. Conclusion
References
Exercises
Appendix

17. Maintainability and Maintenance — A Case Study on Mission Critical Aircraft and Engine Components
U. Dinesh Kumar and John Crocker
17.1. Introduction
17.2. The Airline Company Profile
17.3. Analysis of Unscheduled Maintenance
17.4. Engine Reliability and Maintenance Policies
17.5. Planned and Unplanned Maintenance in Engine
17.6. Conclusions
References
Exercises

18. Photocopier Reliability Modeling Using Evolutionary Algorithms
Michael Bulmer and John Eccleston
18.1. Introduction
18.2. System Characterization
18.3. Preliminary Analysis
18.4. Weibull Models
18.5. Evolutionary (Genetic) Algorithm
18.6. Model Fitting and Analysis
18.7. Modeling Failures over Time
18.8. Conclusions
References
Exercises
Appendix

19. Reliability Model for Underground Gas Pipelines
Roger M. Cooke, Eric Jager, and D. Lewandowski
19.1. Introduction
19.2. Modeling Pipeline Failures
19.3. Third-Party Interference
19.4. Damage Due to Environment
19.5. Failure Due to Corrosion
19.6. Validation
19.7. Results for Ranking
19.8. Conclusions
References
Exercises

20. RCM Approach to Maintaining a Nuclear Power Plant
Gilles C. Zwingelstein
20.1. Introduction
20.2. System Characterization and Modeling
20.3. An Overview of RCM

PART E. CASES WITH EMPHASIS ON RELIABILITY IMPROVEMENT

23. Optimization of Dragline Load
Peter G. A. Townson, D. N. Prabhakar Murthy, and Hal Gurgenci
23.1. Introduction
23.2. Approach Used
23.3. System Characterization
23.4. Field Data
23.5. Component Level: Modeling, Estimation, and Analysis
23.6. System Level Modeling and Analysis
23.7. Modeling the Effect of Dragline Load
23.8. Optimal Dragline Load
23.9. Conclusions and Recommendations
References
Exercises
Appendix

24. Ford’s Reliability Improvement Process — A Case Study on Automotive Wheel Bearings
Karl D. Majeske, Mark D. Riches, and Hari P. Annadi
24.1. Introduction
24.2. Approach Used
24.3. Quantitative Analysis Methods
24.4. Data and Analysis
24.5. Conclusions and Recommendations
References
Exercises

25. Reliability of Oil Seal for Transaxle — A Science SQC Approach at Toyota
Kakuro Amasaka and Shunji Osaki
25.1. Introduction
25.2. Oil Seal
25.3. Reliability Improvement at Toyota: A Cooperative Team Approach
25.4. Reliability Improvement of Oil Seal
25.5. Conclusion
References
Exercises

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