Recent Advances in Reliability and Quality in Design presents the latest theories and methods of reliability and quality, with emphasis on reliability and quality in design and modeling. Each chapter is written by active researchers and professionals with international reputations, providing material which bridges the gap between theory and practice to trigger new practices and research challenges.

Postgraduates, researchers, and practitioners in reliability engineering, maintenance engineering, quality engineering, operations research, industrial and systems engineering, mechanical engineering, computer engineering, management, and statistics will find this book a state-of-the-art survey of reliability and quality in design and practices.

Hoang Pham, FIEEE is a Professor in the Department of Industrial and Systems Engineering at Rutgers University in New Jersey, USA. His research interests include software reliability, system reliability modeling, maintenance, fault-tolerant computing, and biological systemability-risk assessment.

Autorentext

Dr Hoang Pham is a professor in the Department of Industrial and Systems Engineering at Rutgers, The State University of New Jersey. Before joining Rutgers, he was a senior engineering specialist at the Boeing Company, Seattle, and the Idaho National Engineering Laboratory, Idaho Falls. His research interests include software reliability, system reliability modeling, maintenance, fault-tolerant computing, and biological systemability-risk assessment.

Zusammenfassung

"Recent Advances in Reliability and Quality in Design" presents the latest theories and methods of reliability and quality, with emphasis on reliability and quality in design and modelling. Each chapter is written by active researchers and professionals with international reputations, providing material which bridges the gap between theory and practice to trigger new practices and research challenges.

Postgraduates, researchers, and practitioners in reliability engineering, maintenance engineering, quality engineering, operations research, industrial and systems engineering, mechanical engineering, computer engineering, management, and statistics will find this book a state-of-the-art survey of reliability and quality in design and practices.

Inhalt
System Reliability Computing.- Central Limit Theorem for a Family of Reliability Measures.- Modeling and Reliability Evaluation of Multi-state k-out-of-n Systems.- On Weighted Least Squares Estimation for the Parameters of Weibull Distribution.- Periodic and Sequential Imperfect Preventive Maintenance Policies for Cumulative Damage Models.- Some Alternative Approaches to System Reliability Modeling.- The Optimal Burn-in: State of the Art and New Advances for Cost Function Formulation.- Reliability Engineering in Design.- Optimum Threshold Level of Degrading Systems Based on Sensor Observation.- Weibull Data Analysis with Few or no Failures.- A Load-weighted Statistical Average Model of Fatigue Reliability.- Markovian Performance Evaluation for Software System Availability with Processing Time Limit.- Failure Probability Estimation of Long Pipeline.- Software Reliability and Testing.- Software Fault Imputation in Noisy and Incomplete Measurement Data.- A Linearized Growth Curve Model for Software Reliability Data Analysis.- Software Reliability Model Considering Time-delay Fault Removal.- Heuristic Component Placement for Maximizing Software Reliability.- Software Reliability Growth Models Based on Component Characteristics.- Quality Engineering in Design.- Statistical Analysis of Appearance Quality for Automotive Rubber Products.- Present Worth Design of Engineering Systems with Degrading Components.- Economic-statistical Design of a Logarithmic Transformed S2 EWMA Chart.- Risk Management Techniques for Quality Software Development.- Application in Engineering Design.- Recent Advances in Data Mining for Categorizing Text Records.- Quality in Design: User-oriented Design of Public Toilets for Visually Impaired People.- Assurance Cases for Reliability: Reducing Risks to Strengthen ROI for SCADA Systems.- Detecting Driver's Emotion: A Step Toward Emotion-based Reliability Engineering.- Mortality Modeling Perspectives.