Every event in a system is composed of much number of events. Each event occurring at an instant of time creates a change in the system. These events may happen irregularly or   none deterministically but are result of interactions within the system. The conceptual structure of DES is simple .It is a system that constitutes multiple jobs which require multiple resources. This conceptually simple model encompasses scores of event driven, human made, overwhelmingly complex systems like international airports, offices, large communication networks, multiplexes, shopping malls, industries etc.

Typical examples of events that can trigger the response of a DES and  possible the change of its state are the arrival or departure of a packet in the node of a communication network, the completion of  task, the repair  or failure of a machine in the factory, the opening or closing of a switch in the network etc.

In most of the cases the discrete systems are considered as the computational models, obtained by the sampling of continuous systems. Though a general theory of DES does not exists , the previously mentioned partial approaches have provided valuable concepts and insights and have contributed to the understanding of the fundamental issues involved in the design, analysis and control of DES.

The DES simulation methods, algorithms and software are now commercially available to quantitative behavior analysis and also to the quantitative performance evaluation .The main attention are focused on the modeling of DES, which allows one to grasp the basic behavior of DES’s.

 Download CSE Seminar Topic on Discrete Event System Abstract .