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Simulación Basada en Agentes de Líneas de Espera×Simulación de Colas×
CampoSimulaciónSimulación
FamiliaProcess / pipelineProcess / pipeline
Año de origen2000s1909
Autor originalMacal, C. M. & North, M. J. (hybrid formalization); queueing theory rooted in Erlang (1909)Agner Krarup Erlang
TipoHybrid simulation — agent-based + queueingStochastic simulation / analytical modeling
Fuente seminalMacal, 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
AliasAB-QS, Agent-Based Queue Simulation, ABM Queueing, Agent Queue SimulationQueue Simulation, Queuing Theory Simulation, Waiting-Line Simulation, DES-Queue
Relacionados56
ResumenAgent-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.
ScholarGateConjunto de datos
  1. v1
  2. 2 Fuentes
  3. PUBLISHED
  1. v1
  2. 2 Fuentes
  3. PUBLISHED

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ScholarGateComparar métodos: Agent-based queueing simulation · Queueing Simulation. Recuperado el 2026-06-15 de https://scholargate.app/es/compare