विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| स्टोकेस्टिक असतत-घटना सिमुलेशन× | कतार अनुकरण× | |
|---|---|---|
| क्षेत्र | अनुकरण | अनुकरण |
| परिवार | Process / pipeline | Process / pipeline |
| उद्भव वर्ष≠ | 1960s–1970s | 1909 |
| प्रवर्तक≠ | Banks, Carson, Nelson, Nicol; Law, A. M. | Agner Krarup Erlang |
| प्रकार≠ | Stochastic simulation model | Stochastic simulation / analytical modeling |
| मौलिक स्रोत≠ | Banks, J., Carson, J. S., Nelson, B. L., & Nicol, D. M. (2010). Discrete-Event System Simulation (5th ed.). Prentice Hall. ISBN: 9780136062127 | Kleinrock, L. (1975). Queueing Systems, Volume 1: Theory. Wiley-Interscience, New York. ISBN: 978-0471491101 |
| उपनाम | Stochastic DES, SDES, Probabilistic DES, Monte Carlo DES | Queue Simulation, Queuing Theory Simulation, Waiting-Line Simulation, DES-Queue |
| संबंधित | 6 | 6 |
| सारांश≠ | Stochastic Discrete-Event Simulation (Stochastic DES) models complex systems by advancing simulated time from one discrete event to the next, drawing event durations and inter-arrival times from fitted probability distributions. It is the standard technique for analyzing queues, manufacturing lines, healthcare pathways, and logistics networks under uncertainty, producing output statistics with confidence intervals. | Queueing Simulation combines classical queueing theory with discrete-event simulation to model systems where entities arrive, wait for service, and depart. It predicts performance metrics such as average waiting time, queue length, and server utilization, enabling capacity planning and bottleneck identification across service, manufacturing, healthcare, and network systems. |
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