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المحاكاة الحتمية المتقطعة الأحداث×محاكاة الأحداث المنفصلة العشوائية×
المجالالمحاكاةالمحاكاة
العائلةProcess / pipelineProcess / pipeline
سنة النشأة1960s–present1960s–1970s
صاحب الطريقةBanks, J.; Carson, J. S.; Nelson, B. L. (codified); roots in 1960s simulation pioneers (Tocher, Conway)Banks, Carson, Nelson, Nicol; Law, A. M.
النوعSimulation — deterministic event-driven modelStochastic simulation model
المصدر التأسيسيBanks, J., Carson, J. S., Nelson, B. L., and Nicol, D. M. (2010). Discrete-Event System Simulation (5th ed.). Prentice Hall. ISBN: 9780136062127Banks, J., Carson, J. S., Nelson, B. L., & Nicol, D. M. (2010). Discrete-Event System Simulation (5th ed.). Prentice Hall. ISBN: 9780136062127
الأسماء البديلةDeterministic DES, Fixed-Input DES, Non-Stochastic Discrete-Event Simulation, Deterministic Event-Driven SimulationStochastic DES, SDES, Probabilistic DES, Monte Carlo DES
ذات صلة56
الملخصDeterministic Discrete-Event Simulation (Deterministic DES) models a system as a sequence of events occurring at precise, pre-specified times using fixed input parameters. Unlike stochastic DES, no probability distributions are sampled; every arrival, service time, and resource availability is known in advance, making runs fully reproducible and producing a single definitive output trajectory.Stochastic Discrete-Event Simulation (Stochastic DES) models complex systems by advancing simulated time from one discrete event to the next, drawing event durations and inter-arrival times from fitted probability distributions. It is the standard technique for analyzing queues, manufacturing lines, healthcare pathways, and logistics networks under uncertainty, producing output statistics with confidence intervals.
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ScholarGateقارن الطرق: Deterministic Discrete-Event Simulation · Stochastic Discrete-Event Simulation. استُرجع بتاريخ 2026-06-17 من https://scholargate.app/ar/compare