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Simulasi Antrean Stokastik×Simulasi Antrean×
BidangSimulasiSimulasi
KeluargaProcess / pipelineProcess / pipeline
Tahun asal19531909
PencetusKendall, D. G.Agner Krarup Erlang
TipeStochastic simulation — waiting-line system analysisStochastic simulation / analytical modeling
Sumber perintisKendall, D. G. (1953). Stochastic processes occurring in the theory of queues and their analysis by the method of the imbedded Markov chain. The Annals of Mathematical Statistics, 24(3), 338–354. DOI ↗Kleinrock, L. (1975). Queueing Systems, Volume 1: Theory. Wiley-Interscience, New York. ISBN: 978-0471491101
AliasSQS, Probabilistic Queueing Simulation, Stochastic Queue Modeling, Random Queueing SimulationQueue Simulation, Queuing Theory Simulation, Waiting-Line Simulation, DES-Queue
Terkait66
RingkasanStochastic Queueing Simulation models waiting-line systems where arrival and service processes follow probability distributions rather than fixed rates. By simulating thousands of random events, it estimates performance measures — mean waiting time, queue length, server utilization — under realistic uncertainty, making it the standard tool for designing and evaluating service systems from hospitals to call centers.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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ScholarGateBandingkan metode: Stochastic Queueing Simulation · Queueing Simulation. Diakses 2026-06-15 dari https://scholargate.app/id/compare