Simulation is imitation of operating real-world processes

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System Simulation

Simulation is an imitation of operating real-world processes or systems from time to time. Well which is done by hand or on a computer, the simulation involves an artificial system observations about the operating characteristics of the real system.

Such behavioral systems develop over time to be studied with develop simulation models. This model usually takes the form of a set assumptions about system operation. This assumption is presented in the relation of mathematics, logical, and symbolic between entities, or interesting objects, from the system. After developed and validated, the model can be used to investigate various variations about "what if" questions about real world systems. Potential changes to the first system can be simulated, to predict the impact on system performance.

Simulation can also be used to study the system in the design phase, before the system it was built. Thus, simulation modeling can be used both as a tool analysis to predict the effects of existing system changes and as a design tool to predict the performance of a new system under various sets of circumstances.

In some cases, a model can be developed that is quite simple for "solve" with the mathematic method. The solution might be found with using differential calculus, probability theory, algebraic methods, or mathematical techniques others. Solutions usually consist of one or more numerical parameters, called sizes performance of the system. However, many real world systems are so complex that they are models this system is almost impossible to solve mathematically. In this case, numerical, computer-based sirmilation can be used to mimic system behavior from time to time. From the simulation, data is collected as a real system that is currently observed. The resulting simulation data is used to estimate performance measures from the system.

1. Mention several types of systems, explain and give examples.

2. What is the model? Mention several types of models, explain and give examples.

Reference no: EM132264940

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