ScholarGate
دستیار

مقایسهٔ روش‌ها

روش‌های انتخابی خود را کنار هم مرور کنید؛ ردیف‌های متفاوت برجسته شده‌اند.

شبیه‌سازی رویداد گسسته مقاوم×شبیه‌سازی رویداد گسسته (DES)×
حوزهشبیه‌سازیشبیه‌سازی
خانوادهProcess / pipelineProcess / pipeline
سال پیدایش1990s–2000s1960s (formalized); modern computational form from 1970s onward
پدیدآورBanks, Carson, Nelson, Nicol (canonical DES); robust extensions: operations research communityBanks, Carson, Nelson & Nicol (textbook lineage); foundational work by Tocher & Conway (1960s)
نوعSimulation with robustness analysisStochastic process simulation
منبع بنیادینBanks, J., Carson, J. S., Nelson, B. L., & 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.). Pearson. ISBN: 978-0136062127
نام‌های دیگرRobust DES, Uncertainty-Aware DES, Robust DEVS, Resilient Discrete-Event SimulationDES, event-driven simulation, Ayrık Olay Simülasyonu (DES)
مرتبط64
خلاصهRobust Discrete-Event Simulation (Robust DES) is a simulation methodology that extends classical discrete-event simulation by explicitly incorporating uncertainty in model parameters — such as interarrival times, service durations, and resource capacities — and evaluating system performance across worst-case or distributional uncertainty sets rather than point estimates alone. It is widely applied in manufacturing, healthcare, logistics, and supply chain systems where parameter misspecification or real-world variability can lead to misleading simulation conclusions.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.
ScholarGateمجموعه‌داده
  1. v1
  2. 2 منابع
  3. PUBLISHED
  1. v1
  2. 2 منابع
  3. PUBLISHED

رفتن به جست‌وجو دریافت اسلایدها

ScholarGateمقایسهٔ روش‌ها: Robust Discrete-Event Simulation · Discrete-Event Simulation. بازیابی‌شده در 2026-06-17 از https://scholargate.app/fa/compare