Recent Advances in Reliability and Quality Engineering.
Title:
Recent Advances in Reliability and Quality Engineering.
Author:
Pham, Hoang.
ISBN:
9789812811868
Personal Author:
Physical Description:
1 online resource (346 pages)
Series:
Series on Quality, Reliability and Engineering Statistics ; v.2
Series on Quality, Reliability and Engineering Statistics
Contents:
CONTENTS -- Preface -- About the Author -- List of Contributors -- 1. Control Charts for Data Having a Symmetrical Distribution with a Positive Kurtosis -- 1. Introduction -- 2. The Symmetrical Johnson Su Distributions -- 3. Application to Control Charts -- 4. An Example -- 5. How Kurtosis Affects Classical Charts -- 6. OC and ARL Curves -- 7. Conclusions -- Appendix -- References -- 2. A Software Reliability Model with Testing Coverage and Imperfect Debugging -- 1. Introduction -- 2. Software Reliability Modeling -- 3. Model Evaluation and Applications -- 4. Conclusions -- References -- 3. Cost Allocation for Software Reliability -- 1. Introduction -- 2. Related Work -- 3. Reliability of an In-house Developed Module -- 4. The Predetermined Model and Its Branch and Bound Scheme -- 5. Example -- 6. The General Model and Its Branch and Bound Scheme -- 7. Concluding Remarks -- References -- 4. General Reliability Test Plans for One-Shot Devices -- 1. Introduction -- 2. Reliability Test Plans -- 3. Weilbull Degradation Model -- 4. Power and Sample Size Requirements -- Appendix -- References -- 5. Multivariate Control Chart -- 1. Introduction -- 2. Multivariate Control Charts -- 3. Identifying Out of Control Signals -- 4. Selecting Important Characteristics (Variables) -- 5. Example -- 6. Conclusion -- References -- 6. Optimal Preparedness Maintenance of Multi-Unit Systems with Imperfect Maintenance and Economic Dependence -- 1. Introduction -- 2. System Reliability and Cost Measures -- 3. Optimization Models -- 4. Concluding Remark -- References -- 7. Estimation of System Reliability by Variationally Processed Monte Carlo Simulation -- 1. Introduction -- 2. Variational Principle -- 3. Analytical Example -- 4. Monte Carlo Analytical Example -- 5. Intermediate Discussion -- 6. Simulation Model -- 7. Simulation Results.
8. Refinements -- 9. Concluding Discussion -- Appendix: Kolmogorov Equations -- References -- 8. A Bayesian Approach to the Optimal Policy under Imperfect Preventive Maintenance Models -- 1. Introduction -- 2. Prior Distribution of Failure Parameters and the Cost Function -- 3. The Optimal PM Intervals and Replacement Period under Prior Knowledge -- 4. Adaptive PM Policy -- 5. A Case Study of the K Steelworks -- 6. Conclusions -- References -- 9. Design of Life Tests Based on Multi-Stage Decision Process -- 1. Multi-Stage Life Test -- 2. Multi-Stage Accelerate Life Test -- References -- 10. Reliability Centered Maintenance for Light Rail Equipment -- 1. Background -- 2. Reliability Centered Maintenance -- 3. LRV Systems and Equipment -- 4. Selection of Systems and Equipment for the RCM Project -- 5. RCM Implementation -- 6. Summary and Conclusions -- References -- 11. Incorporating Environmental Concepts with Tolerance Design Optimization Model -- 1. Introduction -- 2. Basic Concept of Robust Design -- 3. Societal Loss -- 4. Variation Transfer Process -- 5. Tolerance Design Optimization Model -- 6. Tolerance for Outgoing Quality Characteristic -- 7. Tolerance for Design/Process Parameters -- 8. Conclusion -- References -- 12. Markovian Reliability Modeling for Software Safety /Availability Measurement -- 1. Introduction -- 2. Reliability Assessment Model with Safety -- 3. Availability-Intensive Safety Assessment Model -- 4. Numerical Examples -- 5. Concluding Remarks -- References -- 13. Group Control Charts with Variable Stream and Sample Sizes -- 1. Introduction -- 2. Variable Stream and Sample Size GCCs -- 3. Properties of the VSSS GCCs -- 4. Numerical Comparisons -- 5. Concluding Remarks -- A. Appendix -- References -- 14. A Methodology for the Measurement of Test Effectiveness -- 1. Introduction.
2. A Measurement Baseline -- 3. Software Evolution -- 4. Obtaining Average Build Values -- 5. Software Evolution and the Fault Insertion Process -- 6. Definition of a Fault -- 7. The Relationship between Faults and Code Changes -- 8. Testing Objectives -- 9. Test Efficiency -- 10. Regression Test Results -- 11. Summary -- References -- 15. Modeling Software Quality with Classification Trees -- 1. Introduction -- 2. Software Quality Modeling -- 3. Classification Trees -- 4. Modeling Methodology -- 5. Empirical Case Study -- 6. Conclusions -- References -- 16. Highly Reliable Systems: Designing Software for Improved Assessment -- 1. Introduction -- 2. Programmable Electronic Systems -- 3. Reliability Assurance of Safety Critical Systems -- 4. Software Reliability Assessment in Reduced Input Domains -- 5. Design Rules for Process-Control Programs -- 6. Summary -- References -- 17. Manufacturing Systems Estimation using Neural Network Models -- 1. Introduction -- 2. Radial Basis Function Neural Network Theory -- 3. Use of Model in Activities for Robust Design -- 4. Subsystem Modeling -- 5. Conclusions -- References -- 18. A Deterministic Selective Maintenance Model for Complex Systems -- 1. Introduction -- 2. Mathematical Programming Models -- 3. Selective Maintenance Examples -- 4. Generalizations of the Selective Maintenance Model -- 5. Summary and Conclusions -- References -- Author index -- Subject index.
Abstract:
This volume presents recent research in reliability and quality theory and its applications by many leading experts in the field. The subjects covered include reliability optimization, software reliability, maintenance, quality engineering, system reliability, Monte Carlo simulation, tolerance design optimization, manufacturing system estimation, neural networks, software quality assessment, optimization design of life tests, software quality, reliability-centered maintenance, multivariate control chart, methodology for measurement of test effectiveness, imperfect preventive maintenance, Markovian reliability modeling, accelerated life testing, and system availability assessment. The book will serve as a reference for postgraduate students and will also prove useful for practitioners and researchers in reliability and quality engineering. Sample Chapter(s). Chapter 1.1: Introduction (88 KB). Chapter 1.2: The Symmetrical Johnson Su Distributions (101 KB). Chapter 1.3: Application to Control Charts (79 KB). Chapter 1.4: An Example (84 KB). Chapter 1.5: How Kurtosis Affects Classical Charts (104 KB). Chapter 1.6: OC and ARL Curves (133 KB). Chapter 1.7: Conlusions (129 KB). Contents: Control Charts for Data Having a Symmetrical Distribution with a Positive Kurtosis (P Philippe); A Software Reliability Model with Testing Coverage and Imperfect Debugging (X Zhang & H Pham); Cost Allocation for Software Reliability (O Berman & M Cutler); General Reliability Test Plans for One-Shot Devices (W Zhang & W-K Shiue); Multivariate Control Chart (M-W Lu & R J Rudy); Optimal Preparedness Maintenance of Multi-Unit Systems with Imperfect Maintenance and Economic Dependence (H Wang et al.); Estimation of System Reliability by Variationally Processed Monte Carlo Simulation (M Chang et al.); A Bayesian Approach to the Optimal Policy under Imperfect Preventive
Maintenance Models (K-S Park & C-H Jun); Design of Life Tests Based on Multi-Stage Decision Process (A Kanagawa & H Ohta); Reliability-Centered Maintenance for Light Rail Equipment (K H K Leung et al.); Incorporating Environmental Concepts with Tolerance Design Optimization Model (G Chen); Markovian Reliability Modeling for Software Safety/Availability Measurement (K Tokuno & S Yamada); Group Control Charts with Variable Stream and Sample Sizes (K T Lee et al.); A Methodology for the Measurement of Test Effectiveness (J C Munson & A P Nikora); Modeling Software Quality with Classification Trees (T M Khoshgoftaar & E B Allen); Highly Reliable Systems: Designing Software for Improved Assessment (B Cukic & F Bastani); Manufacturing Systems Estimation Using Neural Network Models (P L Cooper & G J Savage); A Deterministic Selective Maintenance Model for Complex Systems (C R Cassady et al.). Readership: Practitioners, postgraduate students and researchers in reliability and quality engineering.
Local Note:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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Electronic Access:
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