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Simulation Introduction


A system is made up of elements or components that are related functionally to one another. An element can be treated as a part of the system or as an independent system. A classification of systems is given below


If the state of the system does not change then it is called static e.g., breeze, else it is called dynamic. A dynamic system is called deterministic if for each system state the subsequent system state is uniquely detem1ined. If the subsequent system state is random then it is called stochastic system. Again the randomness may be two types-discrete and continuous. A discrete system may be made up of elements some of which are mobile and some are stationary. When the state of a system changes due to the transactions, the system is called transaction oriented. When the state of a system changes due to stationary elements, the system is called an event oriented system.


A system is often represented by a model that describes the system sufficiently in detail so that the behaviour of the system can be predicted from the behaviour of the model. A classification of models is given below :

A simulated model is built up by simulation which is the activity of artificially creating probabilistic processes to represent system components with the sole purpose of studying the behaviour of the system.


Modelling and simulation have found applications in the most varied fields e.g., Business, Defence, Politics, Physics, Mathematics, Computer Science, Management etc.