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Statements

Subject Item

dbr:Discrete-event_simulation

rdf:type

owl:Thing

rdfs:label

Discrete-event simulation

rdfs:comment

A discrete-event simulation (DES) models the operation of a system as a (discrete) sequence of events in time. Each event occurs at a particular instant in time and marks a change of state in the system. Between consecutive events, no change in the system is assumed to occur; thus the simulation time can directly jump to the occurrence time of the next event, which is called next-event time progression.

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dbr:Finance dbr:Monte_Carlo_method

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dbt:See_also dbt:Reflist dbt:Cite_book dbt:Main

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dbc:Modeling_and_simulation dbc:Events_(computing)

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n11:Discrete-event_simulation?oldid=1067136090&ns=0

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5920634

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16137

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1067136090

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dbr:Industrial_engineering dbr:Continuous_simulation dbr:Bootstrapping_(statistics) dbr:Priority_queue dbr:Non-blocking_algorithm dbr:Time dbr:Transaction-level_modeling dbr:Six_Sigma dbr:Pseudorandom_number_generator dbr:Massively_parallel_processor_array dbr:Finite-state_machine dbr:Sorting dbr:DEVS dbr:Lean_manufacturing dbr:Stochastic_process dbr:Probability_distribution dbr:Manycore_processor dbr:Bootstrapping dbr:Performance_indicator dbr:Birth–death_process dbr:Calendar_queue dbr:Discrete_time_and_continuous_time dbr:Theory_of_constraints dbc:Modeling_and_simulation dbr:Stochastic dbc:Events_(computing) dbr:Total_quality_management dbr:State_(computer_science) dbr:Overproduction dbr:Monte_Carlo_method dbr:System dbr:Skip_list dbr:Computer_simulation dbr:Network_simulation dbr:Multi-core_processor dbr:List_of_computer_simulation_software dbr:List_of_discrete_event_simulation_software dbr:Replication_(statistics) dbr:Thread_(computing) dbr:Differential_equation dbr:Markov_chain dbr:Confidence_interval dbr:Variance_reduction dbr:Queueing_theory dbr:Step_function dbr:Random_variable dbr:Splay_tree dbr:Statistic dbr:Computer_experiment

dbo:abstract

A discrete-event simulation (DES) models the operation of a system as a (discrete) sequence of events in time. Each event occurs at a particular instant in time and marks a change of state in the system. Between consecutive events, no change in the system is assumed to occur; thus the simulation time can directly jump to the occurrence time of the next event, which is called next-event time progression. In addition to next-event time progression, there is also an alternative approach, called fixed-increment time progression, where time is broken up into small time slices and the system state is updated according to the set of events/activities happening in the time slice. Because not every time slice has to be simulated, a next-event time simulation can typically run much faster than a corresponding fixed-increment time simulation. Both forms of DES contrast with continuous simulation in which the system state is changed continuously over time on the basis of a set of differential equations defining the rates of change of state variables.

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n11:Discrete-event_simulation