Uporedite metode
Pregledajte izabrane metode jednu pored druge; redovi koji se razlikuju su istaknuti.
| Policy Scenario Queueing Simulation× | Markov Model× | |
|---|---|---|
| Oblast | Simulacija | Simulacija |
| Porodica | Process / pipeline | Process / pipeline |
| Godina nastanka≠ | 1909 (queueing theory); scenario application from 1960s–1970s OR literature | 1906 |
| Tvorac≠ | Erlang, A. K. (foundation); generalized by operations research community | Andrei Markov |
| Tip≠ | Comparative simulation experiment | Probabilistic state-transition model |
| Temeljni izvor≠ | Kleinrock, L. (1975). Queueing Systems, Volume 1: Theory. Wiley-Interscience, New York. ISBN: 978-0471491101 | Norris, J. R. (1997). Markov Chains. Cambridge University Press, Cambridge. ISBN: 9780521633963 |
| Drugi nazivi | PSQS, policy queueing analysis, queueing policy comparison, scenario-based queueing model | Markov Chain, Discrete-Time Markov Chain, DTMC, Markov Process |
| Srodne | 5 | 5 |
| Sažetak≠ | 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. | A Markov Model represents a system as a finite set of states and specifies the probability of moving from one state to another at each time step. By capturing only the current state — not the full history — it enables tractable analysis of complex dynamic processes across health economics, engineering reliability, operations research, and social-science modeling. |
| ScholarGateSkup podataka ↗ |
|
|