Simulation & Modeling

Simulation

Simulation of a system is the operation of a model in terms of time or space, which helps analyze the performance of an existing or a proposed system.
In other words, simulation is the process of using a model to study the performance of a system. It is an act of using a model for simulation.
Simulation is an interdisciplinary subject, using ideas and techniques from Statistics, Probability, Number Theory, and Computer Science.

Modelling is the process of representing a model which includes its construction and working.
This model is similar to a real system, which helps the analyst predict the effect of changes to the system.
In other words, modelling is creating a model which represents a system including their properties. It is an act of building a model.

The historical perspective of simulation is as enumerated in a chronological order.

1940 − A method named ‘Monte Carlo’ was developed by researchers (John von Neumann, Stanislaw Ulan, Edward Teller, Herman Kahn) and physicists working on a Manhattan project to study neutron scattering.
1960 – The first special-purpose simulation languages were developed, such as SIMSCRIPT by Harry Markowitz at the RAND Corporation.
1970 − During this period, research was initiated on mathematical foundations of simulation.
1980 − During this period, PC-based simulation software, graphical user interfaces and object-oriented programming were developed.
1990 − During this period, web-based simulation, fancy animated graphics, simulation-based optimization, Markov-chain, Monte Carlo methods were developed.

Simulation is the representation of a real life system by another system, which depicts the important characteristics of the real system and allows experimentation on it.
In another word simulation is an imitation of the reality.
Simulation has long been used by the researchers, analysts, designers and other professionals in the physical and non-physical experimentation and investigations.

Last updated 2 years ago