Порівняння методів

	Симуляція черг на основі агентів	Дискретно-подієве моделювання (DES)
Галузь	Імітаційне моделювання	Імітаційне моделювання
Родина	Process / pipeline	Process / pipeline
Рік появи	2000s	1960s (formalized); modern computational form from 1970s onward
Автор методу	Macal, C. M. & North, M. J. (hybrid formalization); queueing theory rooted in Erlang (1909)	Banks, Carson, Nelson & Nicol (textbook lineage); foundational work by Tocher & Conway (1960s)
Тип	Hybrid simulation — agent-based + queueing	Stochastic process simulation
Основоположне джерело	Macal, C. M., & North, M. J. (2010). Tutorial on agent-based modelling and simulation. Journal of Simulation, 4(3), 151–162.	Banks, J., Carson, J.S., Nelson, B.L. & Nicol, D.M. (2010). Discrete-Event System Simulation (5th ed.). Pearson. ISBN: 978-0136062127
Інші назви	AB-QS, Agent-Based Queue Simulation, ABM Queueing, Agent Queue Simulation	DES, event-driven simulation, Ayrık Olay Simülasyonu (DES)
Пов'язані	5	4
Підсумок	Agent-Based Queueing Simulation (AB-QS) combines agent-based modeling with queueing theory to simulate systems where autonomous, decision-making entities interact through waiting lines and service points. Each entity (patient, customer, job) is modeled as an independent agent with its own state and behavioral rules, enabling richer, more realistic dynamics than classical queueing models alone.	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.