Monte Carlo and decision making support in Crisis Management

Simulation is an interdisciplinary science applicable to many branches of knowledge. One field in which simulation is relevant is decision making support (DMS), in which we use computers to run models of real or possible scenarios in order to evaluate alternative actions before carrying them out. We will obtain a useful simulation system only when the model (engine of the simulation process) has been made accurately to represent reality. Thus it is necessary to use a methodology that helps us to construct a simulation system. This paper presents some classifications of simulation systems and an introduction to the Monte Carlo method, with the objective of creating a framework of application of this method for the construction of simulation systems for decision making support in crisis management. One area of applicability is scenario-based simulations for training for cross-national teams to cooperate in large scale disasters. The final aim of this research will be the recommendation of standards and methodologies to build simulation systems in crisis management, specifically in decision making support.