Discrete Event Simulation

Discrete Event Simulation:

Simulation: It can be defined as logical modeling or creating mathematical models that can indicate the random behavior of real life systems in order to subject them to predictive experimentation. When these mathematical/logical models work on the basis of creating individual events (discrete events) at given time intervals and seeing them through the model then it is referred to as a Discrete Simulation or Discrete Event Simulation.

Discrete Event simulation is a significant tool for the modeling of complex systems.

For every model we create, there would be a stream of arriving entities which would trigger the service event. If the model has been well defined, the main challenge of setting up a discrete event simulation would then be in determining how to create the random events in such a way that the real life behavior is reflected.

For example, I have considered to model discrete-event simulation of passengers flow in Airport.

Each airport is a connection point between arrivals and departures, so it must make sure an easy journey from a system of continuous arrivals of passengers to a system of discrete departures of scheduled flights.

Basically passenger flow at the airport is a discrete stochastic process. Discrete event simulation is mostly used to model systems characterized by complex or multi processes, combined with infrastructure at capacity which is limited. Therefore airports are ideal places to work with simulations having these features.

Delays in the check-in system at an airport vary with times of the day, day of the week, and types of check-in modes chosen by the passengers. Extensive data collection of the check-in system can be used to build a simulation that helps predict these delays. This paper explains the data collection process, simulation modeling, and scenario analysis for the check-in procedure. Results from this study can be linked to other processes (security checkpoint and parking) in order to...