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Linganisha mbinu

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Uigaji wa Mfumo wa Kungoja×Uiguzi wa Monte Carlo×
NyanjaUigajiUfanyaji Maamuzi
FamiliaProcess / pipelineMCDM
Mwaka wa asili19091949
MwanzilishiAgner Krarup ErlangMetropolis, N., Ulam, S.
AinaStochastic simulation / analytical modelingRobustness wrapper — Monte Carlo uncertainty propagation
Chanzo asiliaKleinrock, L. (1975). Queueing Systems, Volume 1: Theory. Wiley-Interscience, New York. ISBN: 978-0471491101Metropolis, N., Ulam, S. (1949). The Monte Carlo method. Journal of the American Statistical Association DOI ↗
Majina mbadalaQueue Simulation, Queuing Theory Simulation, Waiting-Line Simulation, DES-Queue
Zinazohusiana60
MuhtasariQueueing 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.MONTE-CARLO-SIMULATION (Monte Carlo Simulation — Stochastic uncertainty propagation through MCDM model) is a ranking multi-criteria decision-making (MCDM) method introduced by Metropolis, N., Ulam, S. in 1949. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
ScholarGateSeti ya data
  1. v1
  2. 2 Vyanzo
  3. PUBLISHED
  1. v1
  2. 1 Vyanzo
  3. PUBLISHED

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ScholarGateLinganisha mbinu: Queueing Simulation · MONTE-CARLO-SIMULATION. Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/compare