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"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
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Produktbeschreibung
"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.
  • Produktdetails
  • Springer Series in Reliability Engineering
  • Verlag: Springer / Springer, Berlin / Springer, London
  • Artikelnr. des Verlages: 11817697
  • 1st Edition
  • Erscheinungstermin: 10. Juni 2008
  • Englisch
  • Abmessung: 241mm x 160mm x 34mm
  • Gewicht: 939g
  • ISBN-13: 9781848001121
  • ISBN-10: 1848001126
  • Artikelnr.: 23167510
Autorenporträt
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.
Inhaltsangabe
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 Optimum Threshold Level of Degrading Systems based on Sensors Observation Weibull Data Analysis with Few or No Failures A Load-weighted Statistical Average Model of Fatigue Reliability under Cyclic Load with Random Amplitude Performance Evaluation for Software System with Processing Time Limit based on the Number of Debuggings using Markovian Availability Model Failure Probability Estimation of Long Pipeline by Segment-dependent Reliability Model 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 A Heuristic Approach for Maximizing Software Reliability via Optimal Component Deployment Software Reliability Growth Models based on Components' Characteristics A Study on Appearance Quality Improvement for Sponge Corner Material for Automotive Products Economic Design of Engineering Systems with Degrading Components using Present Worth of Loss of Quality Economic-Statistical Design of a Logarithmic Transformed S2 EWMA Chart Risk Management Techniques for Quality Software Development and its Quantitative Evaluation 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 Risksto Strengthen ROI for SCADA Systems Detecting Drivers' Emotions: A Step Towards Emotion-based Reliability Engineering Mortality Modeling Perspectives