Classification of Simulation Models
Monte Carlo Simulation
- describe systems which are both stochastic and static
Continuous Simulation
- used to model systems which vary continually with time
- the systems modeled are dynamic but may be either deterministic or stochastic
Discrete(-Event) Simulation
- used to model systems which are assumed to change only at discrete set of points in time (correspond to state changes)
- the systems modeled are dynamic and almost invariably, stochastic
Combined Discrete/Continuous Simulation (Hybrid)
- combination of discrete and continuous variables
Choice of simulation model is a function of the characteristics of the system and the objectives of the study.