Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Моделирование сценариев политики в системах массового обслуживания× | Имитационное моделирование систем массового обслуживания× | |
|---|---|---|
| Область | Имитационное моделирование | Имитационное моделирование |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1909 (queueing theory); scenario application from 1960s–1970s OR literature | 1909 |
| Автор метода≠ | Erlang, A. K. (foundation); generalized by operations research community | Agner Krarup Erlang |
| Тип≠ | Comparative simulation experiment | Stochastic simulation / analytical modeling |
| Основополагающий источник | Kleinrock, L. (1975). Queueing Systems, Volume 1: Theory. Wiley-Interscience, New York. ISBN: 978-0471491101 | Kleinrock, L. (1975). Queueing Systems, Volume 1: Theory. Wiley-Interscience, New York. ISBN: 978-0471491101 |
| Другие названия | PSQS, policy queueing analysis, queueing policy comparison, scenario-based queueing model | Queue Simulation, Queuing Theory Simulation, Waiting-Line Simulation, DES-Queue |
| Связанные≠ | 5 | 6 |
| Сводка≠ | Policy Scenario Queueing Simulation applies queueing theory and discrete-event simulation to evaluate two or more competing service or resource-allocation policies under realistic demand and capacity conditions. By holding the system structure constant and varying only the policy rules, analysts can directly compare throughput, waiting times, utilization, and equity outcomes before committing to real-world implementation. | 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. |
| ScholarGateНабор данных ↗ |
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