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Safety and Reliability. Theory and Applications
Safety and Reliability – Theory and Applications contains the contributions presented at the 27th European Safety and Reliability Conference (ESREL 2017, Portorož, Slovenia, June 18-22, 2017). The book covers a wide range of topics, including: • Accident and Incident modelling • Economic Analysis in Risk Management • Foundational Issues in Risk Assessment and Management • Human Factors and Human Reliability • Maintenance Modeling and Applications • Mathematical Methods in Reliability and Safety • Prognostics and System Health Management • Resilience Engineering • Risk Assessment • Risk Management • Simulation for Safety and Reliability Analysis • Structural Reliabi...
Risk Management
Project success is an elusive goal in every business or technical domain. Project failure usually results from unhandled risks to the technical, cost, and schedule aspects of the project. There are four primary root causes of project failure. Unrealistic performance expectation, with missing Measures of Effectiveness Unrealistic cost and schedule estimates based on inadequate risk adjusted growth models Inadequate assessment of risk and unmitigated exposure to these risks without proper handling strategies Unanticipated technical issues with alternative plans and solutions to maintain the effectiveness of the project processes and its deliverables Risk Management provides a comprehensive ove...
Safety, Reliability and Risk Analysis
Methods of risk and reliability analysis are becoming increasingly important as decision support tools in various fields of engineering. Safety, Reliability and Risk Analysis: Beyond the Horizon covers a wide range of topics for which risk analysis forms an indispensable field of knowledge to ensure sufficient safety.
Knowledge in Risk Assessment and Management
Exciting new developments in risk assessment and management Risk assessment and management is fundamentally founded on the knowledge available on the system or process under consideration. While this may be self-evident to the laymen, thought leaders within the risk community have come to recognize and emphasize the need to explicitly incorporate knowledge (K) in a systematic, rigorous, and transparent framework for describing and modeling risk. Featuring contributions by an international team of researchers and respected practitioners in the field, this book explores the latest developments in the ongoing effort to use risk assessment as a means for characterizing knowledge and/or lack of k...
Les facteurs humains et organisationnels dans le projet de conception d’un système à risques
Pour favoriser des interventions humaines performantes et sûres, la démarche FHO se base sur une analyse approfondie de l’activité humaine dans les situations existantes, et sur une simulation de l’activité probable lors des futures opérations, en fonction des options techniques et organisationnelles qui se dessinent. Elle suppose la mise en place d’une maîtrise d’ouvrage forte, une articulation précise avec la maîtrise d’œuvre, et une participation de différents acteurs, notamment exploitants. Les étapes de la démarche FHO doivent être planifiées dès le début de l’avant-projet et s’étendent jusqu’à l’évaluation après démarrage.
Advances in Mathematical and Statistical Modeling
Enrique Castillo is a leading figure in several mathematical and engineering fields. Organized to honor Castillo’s significant contributions, this volume is an outgrowth of the "International Conference on Mathematical and Statistical Modeling," and covers recent advances in the field. Applications to safety, reliability and life-testing, financial modeling, quality control, general inference, as well as neural networks and computational techniques are presented.
The Monte Carlo Simulation Method for System Reliability and Risk Analysis
Monte Carlo simulation is one of the best tools for performing realistic analysis of complex systems as it allows most of the limiting assumptions on system behavior to be relaxed. The Monte Carlo Simulation Method for System Reliability and Risk Analysis comprehensively illustrates the Monte Carlo simulation method and its application to reliability and system engineering. Readers are given a sound understanding of the fundamentals of Monte Carlo sampling and simulation and its application for realistic system modeling. Whilst many of the topics rely on a high-level understanding of calculus, probability and statistics, simple academic examples will be provided in support to the explanation...
Computational Intelligence In Decision And Control - Proceedings Of The 8th International Flins Conference
FLINS, originally an acronym for Fuzzy Logic and Intelligent Technologies in Nuclear Science, is now extended to Computational Intelligence for applied research. The contributions to the eighth edition in the series of FLINS conferences cover state-of-the-art research, development, and technology for computational intelligence systems in general, and for intelligent decision and control in particular.
Computational Intelligence in Decision and Control
FLINS, originally an acronym for Fuzzy Logic and Intelligent Technologies in Nuclear Science, is now extended to Computational Intelligence for applied research. The contributions to the eighth edition in the series of FLINS conferences cover state-of-the-art research, development, and technology for computational intelligence systems in general, and for intelligent decision and control in particular.
Simulation Methods for Reliability and Availability of Complex Systems
Simulation Methods for Reliability and Availability of Complex Systems discusses the use of computer simulation-based techniques and algorithms to determine reliability and availability (R and A) levels in complex systems. The book: shares theoretical or applied models and decision support systems that make use of simulation to estimate and to improve system R and A levels, forecasts emerging technologies and trends in the use of computer simulation for R and A and proposes hybrid approaches to the development of efficient methodologies designed to solve R and A-related problems in real-life systems. Dealing with practical issues, Simulation Methods for Reliability and Availability of Complex Systems is designed to support managers and system engineers in the improvement of R and A, as well as providing a thorough exploration of the techniques and algorithms available for researchers, and for advanced undergraduate and postgraduate students.
