เปรียบเทียบวิธี
ดูวิธีที่เลือกเทียบกันแบบเคียงข้าง แถวที่ต่างกันจะถูกเน้นไว้
| การจำลองสถานการณ์นโยบายแบบแถวคอย× | การจำลองเหตุการณ์แบบไม่ต่อเนื่อง (Discrete-Event Simulation - DES)× | |
|---|---|---|
| สาขาวิชา | การจำลอง | การจำลอง |
| ตระกูล | Process / pipeline | Process / pipeline |
| ปีกำเนิด≠ | 1909 (queueing theory); scenario application from 1960s–1970s OR literature | 1960s (formalized); modern computational form from 1970s onward |
| ผู้ริเริ่ม≠ | Erlang, A. K. (foundation); generalized by operations research community | Banks, Carson, Nelson & Nicol (textbook lineage); foundational work by Tocher & Conway (1960s) |
| ประเภท≠ | Comparative simulation experiment | Stochastic process simulation |
| แหล่งต้นตำรับ≠ | Kleinrock, L. (1975). Queueing Systems, Volume 1: Theory. Wiley-Interscience, New York. ISBN: 978-0471491101 | Banks, J., Carson, J.S., Nelson, B.L. & Nicol, D.M. (2010). Discrete-Event System Simulation (5th ed.). Pearson. ISBN: 978-0136062127 |
| ชื่อเรียกอื่น≠ | PSQS, policy queueing analysis, queueing policy comparison, scenario-based queueing model | DES, event-driven simulation, Ayrık Olay Simülasyonu (DES) |
| ที่เกี่ยวข้อง≠ | 5 | 4 |
| สรุป≠ | 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. | 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. |
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