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Discrete event modeling and dynamic optimization of a sugar plant Michael E. van Wis sen, Joost F.C. Meets×, Ad Muller** and Peter J.T. Verlaine Delft University of Technology, Department of Chemical
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Discrete event modeling is a method used to simulate the behavior of complex systems by representing events that occur over time.
Discrete event modeling is typically used by researchers, engineers, and analysts in various fields such as operations research, computer science, and manufacturing.
Filling out discrete event modeling involves defining system events, specifying their occurrence times, and modeling their impact on the system's state and behavior.
The purpose of discrete event modeling is to study and analyze the behavior of complex systems, identify bottlenecks, optimize performance, and make informed decisions based on the simulation results.
The information reported in discrete event modeling typically includes event types, their occurrence times, their impact on the system, and any relevant system constraints or parameters.
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