Overview of the Book -- Introduction -- Background -- Reliability Study Overview -- Basic Core Concepts -- Introduction to Production Availability Calculations -- Introduction to SIL Calculations -- Risk Identification and Qualitative Analyses -- Inductive Methods -- Preliminary Hazard Analyses -- HAZOP -- FMECA -- Additional Methods -- Comparison of Inductive Approaches -- Modelling of Static Systems -- Boolean Methods -- Introduction to the Boolean Methods -- Main Assumptions and Mathematical Bases -- Reliability Block Diagrams -- Fault Tree Analysis -- Qualitative Analyses -- Extension to Non-coherent RBDs and FTs -- Basic Probability Calculations -- Semi-Quantitative Analysis -- Basic Probability Calculations for Large Systems -- Time Dependent Calculations -- Common Cause Failure Analysis -- Importance Factors -- Uncertainty Propagation -- Sequential Analysis -- Combination with Other Methods -- Belief Networks -- Limits and Conclusions -- Stochastic Processes and Dynamic Systems -- Introduction -- Markovian Modelling -- Monte-Carlo Calculations -- Petri Net Modelling -- Conclusions -- Production Availability and SIL Calculations -- Extension to Production Availability Calculations -- Extension to SIL Calculations -- Conclusion. .

This book provides, as simply as possible, sound foundations for an in-depth understanding of reliability engineering with regard to qualitative analysis, modelling, and probabilistic calculations of safety and production systems. Drawing on the authors’ extensive experience within the field of reliability engineering, it addresses and discusses a variety of topics, including: • Background and overview of safety and dependability studies; • Explanation and critical analysis of definitions related to core concepts; • Risk identification through qualitative approaches (preliminary hazard analysis, HAZOP, FMECA, etc.); • Modelling of industrial systems through static (fault tree, reliability block diagram), sequential (cause-consequence diagrams, event trees, LOPA, bowtie), and dynamic (Markov graphs, Petri nets) approaches; • Probabilistic calculations through state-of-the-art analytical or Monte Carlo simulation techniques; • Analysis, modelling, and calculations of common cause failure and uncertainties; • Linkages and combinations between the various modelling and calculation approaches; • Reliability data collection and standardization. The book features illustrations, explanations, examples, and exercises to help readers gain a detailed understanding of the topic and implement it into their own work. Further, it analyses the production availability of production systems and the functional safety of safety systems (SIL calculations), showcasing specific applications of the general theory discussed. Given its scope, this book is a valuable resource for engineers, software designers, standard developers, professors, and students.