Stabilizing Customer Abandonment in Many-Server Queues with Time-Varying Arrivals

An algorithm is developed to determine time-dependent staffing levels to stabilize the time-dependent abandonment probabilities and expected delays at positive target values in the M t / GI / s t + GI many-server queueing model, which has a nonhomogeneous Poisson arrival process (the M t ), has gene...

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Veröffentlicht in:	Operations research 2012-11, Vol.60 (6), p.1551-1564
Hauptverfasser:	Liu, Yunan, Whitt, Ward
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Analysis Applied sciences Approximation capacity planning Consumer attitudes Exact sciences and technology Firm modelling infinite-server queues Inventory control, production control. Distribution Learning models (Stochastic processes) many-server queues METHODS Modeling offered-load approximations Operational research and scientific management Operational research. Management science Parametric models Performance metrics Poisson process queues with abandonment queues with time-varying arrivals Queuing theory Queuing theory. Traffic theory Random variables service systems Staffing Stochastic models Studies Time dependence Waiting rooms Workforce planning
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