Resumo: Análise de risco de terrorismo é um dos maiores desafios enfrentados pelas autoridades que definem
Abstract:Terrorism risk assessment is one of the biggest challenges that authorities must face to define the defensive resource allocation policy for a country. This article provides a brief review of two approaches that have been traditionally used for this purpose: Probabilistic Risk Assessment and Game Theory. Additionally, it introduces the Adversary Risk Analysis approach to the Brazilian context; an innovative methodology that aims to assess risks caused by intelligent opponents. Finally, an application of Adversarial Risk Analysis in a hypothetical situation is presented. The results show that Adversarial Risk Analysis can be useful to support decisions about defensive resource allocation in contexts such as sports mega events, a reality for many countries around the world.
ABSTRACT. This paper presents the statistical modeling for daily counting statistics of units that arrive for quality inspection at a food company. Different Poisson regression models were considered in order to analyze the data collected, with a Bayesian focus. The main objective was to forecast the daily average count based on co-variables such as days of the week. The analysis of co-variables is very often neglected by statistical packages that come with Discrete Event Simulation software. The discovery of the factors that influence these variations was essential to a more accurate modeling (the definition of simulation calendars) and enables industrial managers to make better decisions about the reallocation of people in the department, resulting in better planning of production capacity.
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