Modeling Daily Arrivals to a Telephone Call Center
Management Science
A Method for Staffing Large Call Centers Based on Stochastic Fluid Models
Manufacturing & Service Operations Management
A java library for simulating contact centers
WSC '05 Proceedings of the 37th conference on Winter simulation
Dynamic staffing in a telephone call center aiming to immediately answer all calls
Operations Research Letters
Should we model dependence and nonstationarity, and if so how?
WSC '05 Proceedings of the 37th conference on Winter simulation
Forecast errors in service systems
Probability in the Engineering and Informational Sciences
On the modeling and forecasting of call center arrivals
Proceedings of the Winter Simulation Conference
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It is commonly assumed that the arrival process of customers to a service system is a nonhomogeneous Poisson process. Call center data often refute this assumption, and several authors have postulated a doubly-stochastic Poisson process for arrivals instead. We develop approximations for both the long-run fraction of calls answered quickly, and the distribution of the fraction of calls answered quickly within a short period. We also perform a computational study to evaluate the approximations and improve our understanding of such systems.