STAFFING A SERVICE SYSTEM WITH NON-POISSON NON-STATIONARY ARRIVALS
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Publication:5358099
DOI10.1017/S026996481600019XzbMath1370.90135WikidataQ57430294 ScholiaQ57430294MaRDI QIDQ5358099
Ward Whitt, Beixiang He, Yunan Liu
Publication date: 19 September 2017
Published in: Probability in the Engineering and Informational Sciences (Search for Journal in Brave)
Queueing theory (aspects of probability theory) (60K25) Stochastic scheduling theory in operations research (90B36) Theory of organizations, manpower planning in operations research (90B70)
Related Items (18)
Staffing many‐server queues with autoregressive inputs ⋮ STAFFING TO STABILIZE BLOCKING IN LOSS MODELS WITH TIME-VARYING ARRIVAL RATES ⋮ Delay-Based Service Differentiation with Many Servers and Time-Varying Arrival Rates ⋮ Minimizing the Maximum Expected Waiting Time in a Periodic Single-Server Queue with a Service-Rate Control ⋮ Stabilizing performance in a single-server queue with time-varying arrival rate ⋮ Heavy-traffic limits for a single-server queue leading up to a critical point ⋮ Stabilizing the virtual response time in single-server processor sharing queues with slowly time-varying arrival rates ⋮ Staffing, Routing, and Payment to Trade off Speed and Quality in Large Service Systems ⋮ A Rare-Event Simulation Algorithm for Periodic Single-Server Queues ⋮ Modeling and Simulation of Nonstationary Non-Poisson Arrival Processes ⋮ Staffing for many-server systems facing non-standard arrival processes ⋮ Time-varying tandem queues with blocking: modeling, analysis, and operational insights via fluid models with reflection ⋮ Many-server Gaussian limits for overloaded non-Markovian queues with customer abandonment ⋮ Dynamic rate Erlang-A queues ⋮ Stabilizing performance in a service system with time-varying arrivals and customer feedback ⋮ Staffing to Stabilize the Tail Probability of Delay in Service Systems with Time-Varying Demand ⋮ Economies-of-Scale in Many-Server Queueing Systems: Tutorial and Partial Review of the QED Halfin--Whitt Heavy-Traffic Regime ⋮ Scheduling to Differentiate Service in a Multiclass Service System
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