Discrete event simulation is a modeling technique used to represent systems where changes occur at specific points in time. It focuses on events that trigger changes in the state of the system, allowing analysts to study complex processes in fields like manufacturing, logistics, and healthcare. By simulating these events, users can observe how systems behave under various conditions. In this approach, each event is processed in chronological order, and the system's state is updated accordingly. This allows for the analysis of performance metrics, such as wait times and resource utilization, helping organizations make informed decisions to improve efficiency and effectiveness.