השוואת שיטות
סקרו את השיטות שבחרתם זו לצד זו; שורות שבהן יש הבדל מודגשות.
| סימולציית תור תרחישי מדיניות× | סימולציית אירועים בדידים לתרחישי מדיניות× | |
|---|---|---|
| תחום | סימולציה | סימולציה |
| משפחה | Process / pipeline | Process / pipeline |
| שנת המקור≠ | 1909 (queueing theory); scenario application from 1960s–1970s OR literature | 1960s–1990s |
| הוגה השיטה≠ | Erlang, A. K. (foundation); generalized by operations research community | Tocher, K. D. and Gordon, G. (early DES); policy scenario extension emerged through operations research and health policy modeling communities |
| סוג≠ | Comparative simulation experiment | Simulation-based policy evaluation |
| מקור מכונן≠ | Kleinrock, L. (1975). Queueing Systems, Volume 1: Theory. Wiley-Interscience, New York. ISBN: 978-0471491101 | Law, A. M. (2015). Simulation Modeling and Analysis (5th ed.). McGraw-Hill Education. ISBN: 9780073401324 |
| כינויים | PSQS, policy queueing analysis, queueing policy comparison, scenario-based queueing model | Policy DES, Scenario-based DES, Policy simulation DES, DES policy analysis |
| קשורות | 5 | 5 |
| תקציר≠ | 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. | Policy Scenario Discrete-Event Simulation combines the event-by-event fidelity of Discrete-Event Simulation with systematic policy scenario analysis to evaluate how different interventions, regulations, or resource allocations change system performance. By running multiple well-defined policy scenarios through the same DES model, analysts can compare outcomes — throughput, waiting times, costs — across alternatives before real-world implementation. |
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