basics of the monte carlo method with application to system reliability marzio marseguerra, enrico...

Basics of the Monte Carlo Method with Application to System Reliability Marzio Marseguerra, Enrico Zio Monte Carlo simulation, thanks to the great development of computer power, has become the most effective tool for performing realistic reliability and availability analysis. The inherent flexiblity of Monte Carlo simulation allows accounting for realistic operating aspects such as, for example, load-sharing and stand-by, ageing processes and maintenance policies, multi-states and performance levels. This is of fundamental importance for systems and plants such as, for example, those employed in the nuclear, aerospace and chemical industry, which are safety-critical and must be designed and operated within a risk-informed approach. For its properties, Monte Carlo simulation is the prominent method for the solution of dynamic reliability problems and for the numerical evaluation of stochastic Petri nets (see the LiLoLe book "Petri Nets for Reliability Modeling"). This book introduces the principles underlying the Monte Carlo simulation method and its application to reliability and availability problems within the framework of the probabilistic risk assessment of complex systems. Potential readers are all types of engineers, operations researchers as well as teachers and students of universities. Both the authors are at the Department of Nuclear Engineering of the Polytechnic of Milan; Marzio Marseguerra is full professor of Signal Analysis in Nuclear Reactors; Enrico Zio is full professor of Safety and Risk Analysis. They have been collaborating to the development of PSA methods since the beginning of the nineties and have published internationally with emphasis on the use of soft computing embedded in Monte Carlo simulations. Hagen/Germany: LiLoLe Publishing, 2002, paperback, 17 cm x 22 cm, 141 pages. ISBN 3-934447-06-6, net price € 20

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Basics of the Monte Carlo Method with Application to System ReliabilityMarzio Marseguerra, Enrico Zio

Monte Carlo simulation, thanks to the great development of computer power, has become the most effective tool for performing realistic reliability and availability analysis. The inherent flexiblity of Monte Carlo simulation allows accounting for realistic operating aspects such as, for example, load-sharing and stand-by, ageing processes and maintenance policies, multi-states and performance levels. This is of fundamental importance for systems and plants such as, for example, those employed in the nuclear, aerospace and chemical industry, which are safety-critical and must be designed and operated within a risk-informed approach. For its properties, Monte Carlo simulation is the prominent method for the solution of dynamic reliability problems and for the numerical evaluation of stochastic Petri nets (see the LiLoLe book "Petri Nets for Reliability Modeling"). This book introduces the principles underlying the Monte Carlo simulation method and its application to reliability and availability problems within the framework of the probabilistic risk assessment of complex systems. Potential readers are all types of engineers, operations researchers as well as teachers and students of universities. Both the authors are at the Department of Nuclear Engineering of the Polytechnic of Milan; Marzio Marseguerra is full professor of Signal Analysis in Nuclear Reactors; Enrico Zio is full professor of Safety and Risk Analysis. They have been collaborating to the development of PSA methods since the beginning of the nineties and have published internationally with emphasis on the use of soft computing embedded in Monte Carlo simulations. Hagen/Germany: LiLoLe Publishing, 2002,paperback, 17 cm x 22 cm, 141 pages.ISBN 3-934447-06-6, net price € 20

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Page 4: Basics of the Monte Carlo Method with Application to System Reliability Marzio Marseguerra, Enrico Zio Monte Carlo simulation, thanks to the great development

MORE INFORMATION

1. Marseguerra, Zio: Basics of Monte Carlo Methods2. Schneeweiss: Reliability Modeling3. Schneeweiss: The Fault Tree Method4. Schneeweiss:Petri Nets for Reliability Modeling

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