เปรียบเทียบวิธี
ดูวิธีที่เลือกเทียบกันแบบเคียงข้าง แถวที่ต่างกันจะถูกเน้นไว้
| การจำลองคิว× | การจำลองเหตุการณ์แบบไม่ต่อเนื่อง (Discrete-Event Simulation - DES)× | |
|---|---|---|
| สาขาวิชา | การจำลอง | การจำลอง |
| ตระกูล | Process / pipeline | Process / pipeline |
| ปีกำเนิด≠ | 1909 | 1960s (formalized); modern computational form from 1970s onward |
| ผู้ริเริ่ม≠ | Agner Krarup Erlang | Banks, Carson, Nelson & Nicol (textbook lineage); foundational work by Tocher & Conway (1960s) |
| ประเภท≠ | Stochastic simulation / analytical modeling | 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≠ | Queue Simulation, Queuing Theory Simulation, Waiting-Line Simulation, DES-Queue | DES, event-driven simulation, Ayrık Olay Simülasyonu (DES) |
| ที่เกี่ยวข้อง≠ | 6 | 4 |
| สรุป≠ | 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. | 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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