Modeling and Simulation
Modeling is the process of producing a representation of the construction and working of some system of interest. One purpose of a model is to enable the effect of changes to a given system to be predicted. On the one hand, a model is a close approximation to the real system and incorporates most of its salient features. On the other hand, it should not be so complex that it is impossible to understand and experiment with it. A good model is therefore a judicious tradeoff between realism and simplicity.
Models intended for study are mathematical sets developed with the help of specialized software. In brief, mathematical model classifications include deterministic (input and output variables are fixed values) or stochastic (at least one of the input or output variables is probabilistic); and static (time is not taken into account) or dynamic (time-varying interactions among variables are taken into account).
The operation of the model can be studied, and hence, properties concerning the behavior of the actual system or its subsystem can be inferred. Simulation is the tool to evaluate the performance of a system, existing or proposed, under different configurations of interest and over long periods of real time. Simulation is best-used before an existing system is altered or a new system built, to reduce the chances of failure to meet specifications, to eliminate unforeseen bottlenecks, to prevent under or over-utilization of resources, and to optimize system performance.
Our added value
Considering the huge potential of modeling and simulation to solve complex problems and to save money, one should expect a widespread and professional use of this method. Particularly in the field of engineering, however, complex problems are often still treated largely based on experimental data. By contrast, we at IDENER follow the systematic procedure briefed below to take as much advantage as possible of modeling and simulation benefits.