Process / pipeline
Discrete-Event Simulation (DES)
Discrete-Event Simulation (DES) is a computational modeling paradigm in which the state of a system changes only at a countable sequence of points in time — the events. Between events nothing changes, so the simulation clock jumps directly from one event to the next. Formalized through the foundational textbooks of Banks, Carson, Nelson and Nicol and of Law in the 1960s–2000s, DES has become the standard tool for analyzing queuing systems, healthcare patient flows, manufacturing lines, and logistics networks where entities move through resources over time.
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Sources
- Banks, J., Carson, J.S., Nelson, B.L. & Nicol, D.M. (2010). Discrete-Event System Simulation (5th ed.). Pearson. ISBN: 978-0136062127
- Law, A.M. (2015). Simulation Modeling and Analysis (5th ed.). McGraw-Hill. ISBN: 978-0073401324
Related methods
Referenced by
Agent-based cellular automataAgent-based Discrete-Event SimulationAgent-based Markov modelAgent-based microsimulationAgent-Based ModelingAgent-based queueing simulationAgent-based system dynamicsBayesian Discrete-Event SimulationBayesian Queueing SimulationCellular AutomataDeterministic Cellular AutomataDeterministic Discrete-Event SimulationDeterministic Markov ModelDeterministic MicrosimulationDeterministic System DynamicsLittle's LawMarkov ModelMicrosimulationMulti-objective discrete-event simulationMulti-objective Queueing SimulationPolicy Scenario Cellular AutomataPolicy Scenario Discrete-Event SimulationPolicy Scenario Queueing SimulationQueueing SimulationRobust Discrete-Event SimulationSimheuristicsStochastic Cellular AutomataStochastic Discrete-Event SimulationStochastic Markov ModelStochastic Queueing SimulationStochastic System DynamicsSystem Dynamics