About: Discrete-event simulation

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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.

Attributes	Values
rdf:type	Thing
rdfs:label	Discrete-event simulation (en)
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. (en)
rdfs:seeAlso	Monte Carlo method Finance
dbp:wikiPageUsesTemplate	dbt:Cite_book dbt:Main dbt:Reflist dbt:See_also
Subject	Modeling and simulation Events (computing)
prov:wasDerivedFrom	http://en.wikipedia.org/wiki/Discrete-event_simulation?oldid=1067136090&ns=0
Wikipage page ID	5920634 (xsd:integer)
page length (characters) of wiki page	16137 (xsd:nonNegativeInteger)
Wikipage revision ID	1067136090 (xsd:integer)
Link from a Wikipage to another Wikipage	Non-blocking algorithm Priority queue Probability distribution Skip list Birth–death process Bootstrapping Bootstrapping (statistics) Monte Carlo method State (computer science) Statistic Step function Thread (computing) Calendar queue Modeling and simulation Differential equation Discrete time and continuous time DEVS List of discrete event simulation software Pseudorandom number generator Sorting Splay tree Time Computer experiment Computer simulation Confidence interval Continuous simulation List of computer simulation software Overproduction Finite-state machine Performance indicator System Industrial engineering Manycore processor Transaction-level modeling Variance reduction Stochastic Stochastic process Theory of constraints Total quality management Events (computing) Toyota Production System Markov chain Massively parallel processor array Multi-core processor Network simulation Queueing theory Random variable Replication (statistics) Six Sigma
has 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. (en)
foaf:isPrimaryTopicOf	http://en.wikipedia.org/wiki/Discrete-event_simulation
is Wikipage redirect of	Discrete Event Simulation Discrete event simulation Future event list Discrete event simulator
is Link from a Wikipage to another Wikipage of	FlexSim Logic simulation Ns (simulator) Adevs Antimatroid AnyLogic Arena (software) Bernard P. Zeigler Binomial heap Bootstrapping Monotone priority queue Monte Carlo methods in finance Network traffic simulation Bucket queue Calendar queue Care Pathway Simulator Carla Seatzu Gem5 GloMoSim Glossary of computer science GoldSim Digital twin Discrete Event Simulation Discrete event dynamic system Discrete event simulation Discrete rate simulation Discretization Douglas W. Jones Krzysztof Pawlikowski Lee Schruben

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