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HọProcess / pipelineProcess / pipeline
Năm ra đời2000s–20181953
Người khởi xướngWhitt, W. and colleagues; Bertsimas, D. and colleaguesKendall, D. G.
LoạiSimulation with worst-case uncertainty propagationStochastic simulation — waiting-line system analysis
Công trình gốcBertsimas, D., Natarajan, K., & Teo, C.-P. (2011). Distributionally robust optimization: A review. European Journal of Operational Research. link ↗Kendall, 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 ↗
Tên gọi khácRQS, Distributionally Robust Queueing, Robust Queue Simulation, Uncertainty-Aware Queueing SimulationSQS, Probabilistic Queueing Simulation, Stochastic Queue Modeling, Random Queueing Simulation
Liên quan66
Tóm tắtRobust Queueing Simulation integrates robustness analysis into queueing system simulation by considering worst-case or uncertainty-set-driven scenarios for arrival rates, service distributions, and queue disciplines. It produces performance guarantees that hold across an entire family of plausible input distributions, making it essential for risk-sensitive service system design.Stochastic 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.
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ScholarGateSo sánh phương pháp: Robust Queueing Simulation · Stochastic Queueing Simulation. Truy cập ngày 2026-06-15 từ https://scholargate.app/vi/compare