banked by utilities that are risk averse. The Argonne Utility Simulation Model (ARGUS2) is being revised to incorporate the …

This report presents the results of computer simulations designed to evaluate and compare the performance of the …

-cause failure models have limitations in a simulation environment. In addition, substantial subjectivity is associated with … parameter estimation for these models. This paper describes an approach in which system performance is simulated by drawing … estimate parameters in traditional common-cause failure models. Simulation examples are presented for failures in time. The …

Event tree analysis and Monte Carlo-based discrete event simulation have been used in risk assessment studies for many … method uses a recursive algorithm to solve the object model and identify all possible scenarios and their associated … inference based on Monte Carlo observations (as required by some discrete event simulation methods). Thus, OBEST is not only …

from or mitigate the impact of a successful attack before serious consequences occur. The methodology uses evidence …

understand all aspects of the underlying science. We review a decision framework used in many fields such as performance …

human performance and to address the broader range of factors that have been shown to influence human performance in complex …

representations of human performance through an increasingly long list of performance shaping factors (PSFs). It is not clear, however …

risk. The formulations derived in this report have undergone various levels of validations through computer simulation … system performance would not have been possible with any other reported dependency methodologies. …

Carlo simulation should be employed. The primary objective of this report is to provide an introductory guide for performing …