Introduction to System Simulation

Systems simulation is a set of techniques for using computers to imitate, or simulate, the operations of various kinds of real-world facilities or processes.The computer is used to generate a numerical model of reality for the purposes of describing complex interaction among components of a system. The complexity of the system surges from the stochastic (probabilistic) nature of the events, from the rules for the interactions of the elements, and the difficulty to perceive the behavior of the systems as a whole with the passing of time.

When to use simulations?
Systems that change with time, such as a gas station where cars come and go (called dynamic systems) and involve randomness.Modeling complex dynamic systems theoretically need too many simplifications and the emerging models may not be therefore valid. Simulation does not require that many simplifying assumptions, making it the only tool even in absence of randomness.

System terminology:
- State: A variable characterizing an attribute in the system.
- Event: An occurrence at a point in time which may change the state of the system.
- Entity: An object that passes through the system.
- Queue: It is a task list.
- Creating: Creating is causing an arrival of a new entity to the system at some point in time.
- Scheduling: Scheduling is the act of assigning a new future event to an existing entity.
- Random variable: A random variable is a quantity that is uncertain.
- Random variate: A random variate is an artificially generated random variable.
- Distribution: A distribution is the mathematical law which governs the probabilistic features of a random variable.