Discrete Event Simulation (DES) is a powerful modeling technique used to represent systems where events occur at distinct points in time. It allows for the analysis of complex systems by simulating the sequence of events and their impact on the system's state. This method is widely used in various fields, including manufacturing, telecommunications, and healthcare. In DES, the focus is on the events that change the state of the system, rather than the passage of time. By modeling these events, practitioners can gain insights into system performance, identify bottlenecks, and optimize processes. This approach is particularly useful for systems that are stochastic in nature, where randomness plays a significant role.