Сравнение методов

	Детерминированная системная динамика	Имитационное моделирование дискретных событий (DES)
Область	Имитационное моделирование	Имитационное моделирование
Семейство	Process / pipeline	Process / pipeline
Год появления	1961	1960s (formalized); modern computational form from 1970s onward
Автор метода	Jay W. Forrester	Banks, Carson, Nelson & Nicol (textbook lineage); foundational work by Tocher & Conway (1960s)
Тип	Continuous feedback-loop simulation	Stochastic process simulation
Основополагающий источник	Forrester, J. W. (1961). Industrial Dynamics. MIT Press, Cambridge, MA. ISBN: 9780262560221	Banks, J., Carson, J.S., Nelson, B.L. & Nicol, D.M. (2010). Discrete-Event System Simulation (5th ed.). Pearson. ISBN: 978-0136062127
Другие названия	Deterministic SD, Classical System Dynamics, Continuous Simulation SD, Forrester System Dynamics	DES, event-driven simulation, Ayrık Olay Simülasyonu (DES)
Связанные	5	4
Сводка	Deterministic System Dynamics is the classical form of System Dynamics introduced by Jay Forrester in 1961, using fixed (non-probabilistic) ordinary differential equations to simulate stock-and-flow structures and feedback loops over time. All model parameters and relationships are specified as single-valued constants or deterministic functions, yielding a single trajectory for each simulation run. It is widely used in policy analysis, business strategy, ecology, and public health modeling.	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.