摘要:Simulation is the process of executing a model, that is a representation of a system with enough detail to describe it but not too excessive. This model has a set of entities an internal state, a set of input variable that can be controlled and others that cannot, a list of process that bind these input variables with the entities and one or more output values, which result from the execution of the processes.Running a model is totally useless if it can not be analyzed, which means to study all interactions among input variables, model entities and their weight in the values of the output variables. In this work we consider Discrete Event Simulation, which means that the status of the system variables being simulated change in a countable set of instants, finite or countable infinite.Simulation programming languages provide a big range of tools for analysis of the results, for generation and execution of experiments and to perform complex analysis (such as Analysis of Variance). This is usually enough for common analysis, but many times more detailed information is required.