Winter Simulation Conference · 2006 · 27 citations · 19 references
ManagementOperations ManagementPerformance ManagementCapacity PlanningStochastic ModelingUncertainty QuantificationCall Center OperationsQueueing AnalysisQueueing ProcessesQueueing SystemsQueueing TheoryStochastic Service SystemsAbandonmentArrival Rate EstimationCall Center Capacity PlanningCall Center Performance AnalysisCall Center QueueingCall Center Queueing ModelsCall Center SimulationInbound Call Center Operations
Inbound call center operations are challenging to manage, in large part because there is considerable uncertainty in estimates of arrival rates, which vary over time. We have developed a general purpose simulation model for inbound call center operations which supports time varying and uncertain arrival rates along with variable staffing. We out-line the conceptual and technical design of the simulation model. We then define and conduct an initial experiment that uses the model to evaluate the impact of arrival rate uncertainty on call center performance. We find that arrival rate uncertainty creates significant planning challenges for managers attempting to satisfy tight performance targets, particularly one-sided performance measures. We also find that abandonment rate has a major impact on call center performance.
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Statistical Analysis of a Telephone Call Center
Lawrence Brown, Noah Gans, Avishai Mandelbaum et al. · Journal of the American Statistical Association · 2005 · 834 citations
Heavy-Traffic Limits for Queues with Many Exponential Servers
S. Halfin, Ward Whitt · Operations Research · 1981 · 771 citations
Dimensioning Large Call Centers
Sem Borst, Avi Mandelbaum, Martin I. Reiman · Operations Research · 2004 · 355 citations
Server Staffing to Meet Time-Varying Demand
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