Linganisha mbinu
Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.
| Uigaji wa Msafara unaoendeshwa na Ajenti× | Uigaji wa Mfumo wa Kungoja× | |
|---|---|---|
| Nyanja | Uigaji | Uigaji |
| Familia | Process / pipeline | Process / pipeline |
| Mwaka wa asili≠ | 2000s | 1909 |
| Mwanzilishi≠ | Macal, C. M. & North, M. J. (hybrid formalization); queueing theory rooted in Erlang (1909) | Agner Krarup Erlang |
| Aina≠ | Hybrid simulation — agent-based + queueing | Stochastic simulation / analytical modeling |
| Chanzo asilia≠ | Macal, C. M., & North, M. J. (2010). Tutorial on agent-based modelling and simulation. Journal of Simulation, 4(3), 151–162. DOI ↗ | Kleinrock, L. (1975). Queueing Systems, Volume 1: Theory. Wiley-Interscience, New York. ISBN: 978-0471491101 |
| Majina mbadala | AB-QS, Agent-Based Queue Simulation, ABM Queueing, Agent Queue Simulation | Queue Simulation, Queuing Theory Simulation, Waiting-Line Simulation, DES-Queue |
| Zinazohusiana≠ | 5 | 6 |
| Muhtasari≠ | Agent-Based Queueing Simulation (AB-QS) combines agent-based modeling with queueing theory to simulate systems where autonomous, decision-making entities interact through waiting lines and service points. Each entity (patient, customer, job) is modeled as an independent agent with its own state and behavioral rules, enabling richer, more realistic dynamics than classical queueing models alone. | 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. |
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