Discrete Event Simulation (DES) models the operation of a system as a sequence of discrete events in time. Each event occurs at a specific point in time and marks a change of state in the system. DES is commonly used to analyze and optimize processes in manufacturing, logistics, healthcare, and other fields where understanding system behavior over time is crucial. It helps in identifying bottlenecks, evaluating different scenarios, and improving overall efficiency.
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