Discrete-event simulation
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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- enA 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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- enA 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 incremental 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 faster than a corresponding incremental 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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- Discrete-event simulation
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- enDiscrete-event simulation
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- Birth–death process
- Bootstrapping (computing)
- Bootstrapping (statistics)
- Calendar queue
- Category:Events (computing)
- Category:Stochastic simulation
- Computer experiment
- Computer simulation
- Confidence interval
- Continuous simulation
- Differential equation
- Discrete Event System Specification
- Discrete time
- Finite-state machines
- Industrial engineering
- Lean manufacturing
- List of computer simulation software
- List of discrete event simulation software
- Manycore processor
- Markov chains
- Markov process
- Massively parallel processor array
- Monte Carlo method
- Multi-core processor
- Network simulation
- Non-blocking algorithm
- Overproduction
- Performance indicator
- Priority queue
- Probability distributions
- Pseudorandom number generator
- Queueing theory
- Random variable
- Random variables
- Replication (statistics)
- Sequence of events
- Single-threaded
- Six Sigma
- Skip list
- Sorting
- Splay tree
- State (computer science)
- Statistic
- Step function
- Stochastic
- Stochastic process
- System
- Theory of constraints
- Thread (computing)
- Total quality management
- Transaction-level modeling
- Variance reduction
- SameAs
- 4mpwP
- Diskreetne sündmuspõhine simulatsioon
- Diskrétní simulace
- Ereignisorientierte Simulation
- Kesikli olay simülasyonu
- Q574814
- Simulação de eventos discretos
- Simulación por eventos discretos
- Simulation à événements discrets
- Дискретно-подійне моделювання
- Дискретно-событийное моделирование
- شبیهسازی رویداد گسسته
- 离散事件仿真
- SeeAlso
- Finance
- Monte Carlo methods
- Subject
- Category:Events (computing)
- Category:Stochastic simulation
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