Types of Simulation

Types of Simulation

• Static Simulation

• Dynamic Simulation

• Discrete Simulation

• Continuous Simulation

• Stochastic Simulation

• Deterministic Simulation

Static Simulation

• Static simulation represents a system, which does not change with time or represents the system at a particular point in time.

• Static simulation include models which are not affected with time.

Dynamic Simulation

• Dynamic simulation represent systems as they change over time.

• Dynamic Simulation include models which are affected with time.

Discrete Simulation

• Systems in which the state changes at discrete points in time called discrete systems.

• Example: Changes in the factory occur discontinuously so factory system is a discrete system.

Continuous Simulation

• System in which the state of the system changes continuously with time are called continuous systems.

• Example: The movement of the aircraft occurs smoothly so aircraft system is a continuous system.

Deterministic Simulation

• In deterministic models, the output of the model is fully determined by the parameter values and the initial conditions.

• Deterministic simulation models have a known set of inputs, which result into unique set of outputs.

• Deterministic systems are not affected by randomness and their output is not a random variable.

• Example: AND, OR, NOT operations.

Stochastic Simulation

• In stochastic model, there are one or more random input variables, which lead to random outputs.

• The same set of parameter values and initial conditions will lead to a different set of outputs.

• Stochastic systems are affected by randomness and their output is a random variable.

• Example: Throwing a dice or tossing a coin.