পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| ডিসক্রিট-ইভেন্ট সিমুলেশন (DES)× | মন্টে কার্লো সিমুলেশন× | |
|---|---|---|
| ক্ষেত্র≠ | অনুকরণ | সিদ্ধান্ত গ্রহণ |
| পরিবার≠ | Process / pipeline | MCDM |
| উদ্ভবের বছর≠ | 1960s (formalized); modern computational form from 1970s onward | 1949 |
| প্রবর্তক≠ | Banks, Carson, Nelson & Nicol (textbook lineage); foundational work by Tocher & Conway (1960s) | Metropolis, N., Ulam, S. |
| ধরন≠ | Stochastic process simulation | Robustness wrapper — Monte Carlo uncertainty propagation |
| মৌলিক উৎস≠ | Banks, J., Carson, J.S., Nelson, B.L. & Nicol, D.M. (2010). Discrete-Event System Simulation (5th ed.). Pearson. ISBN: 978-0136062127 | Metropolis, N., Ulam, S. (1949). The Monte Carlo method. Journal of the American Statistical Association DOI ↗ |
| অপর নাম≠ | DES, event-driven simulation, Ayrık Olay Simülasyonu (DES) | — |
| সম্পর্কিত≠ | 4 | 0 |
| সারসংক্ষেপ≠ | 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. | 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. |
| ScholarGateডেটাসেট ↗ |
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