قارن الطرق

	محاكاة أنظمة الأحداث المنفصلة	محاكاة مونت كارلو
المجال	المحاكاة	اتخاذ القرار
العائلة	Process / pipeline	MCDM
سنة النشأة	1960s (formalised in literature through the 1980s–2000s)	1949
صاحب الطريقة	Kelton, Law & Sadowski (formalised methodology); SIMSCRIPT (Markowitz et al., 1963) and GPSS (Gordon, 1961) were pioneering tools	Metropolis, N., Ulam, S.
النوع	Stochastic process simulation	Robustness wrapper — Monte Carlo uncertainty propagation
المصدر التأسيسي	Kelton, W.D., Sadowski, R.P. & Zupick, N.B. (2014). Simulation with Arena (6th ed.). McGraw-Hill. ISBN: 978-0073401317	Metropolis, N., Ulam, S. (1949). The Monte Carlo method. Journal of the American Statistical Association
الأسماء البديلة	DES, discrete event simulation, Kesikli Sistem Simülasyonu (Arena / AnyLogic tarzı)	—
ذات صلة	4	0
الملخص	Discrete-event system simulation (DES) is a computational modelling technique in which the state of a system changes only at discrete points in time — called events — such as a customer arriving, a machine starting, or a job completing. Formalised through foundational texts by Kelton, Sadowski, and Zupick (2014) and Law (2015), DES represents processes as networks of resources, queues, and activities, allowing analysts to test capacity and policy changes on a virtual model before touching the real system.	MONTE-CARLO-SIMULATION (Monte Carlo Simulation — Stochastic uncertainty propagation through MCDM model) is a ranking multi-criteria decision-making (MCDM) method introduced by Metropolis, N., Ulam, S. in 1949. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.