You are not currently logged in.
Access JSTOR through your library or other institution:
Statistical Analysis of a Telephone Call Center: A Queueing-Science Perspective
Lawrence Brown, Noah Gans, Avishai Mandelbaum, Anat Sakov, Haipeng Shen, Sergey Zeltyn and Linda Zhao
Journal of the American Statistical Association
Vol. 100, No. 469 (Mar., 2005), pp. 36-50
Stable URL: http://www.jstor.org/stable/27590517
Page Count: 15
You can always find the topics here!Topics: Customers, Modeling, Telephones, Confidence interval, Statistics, Statistical models, Statistical variance, Statistical estimation, Statistical analysis, Queueing theory
Were these topics helpful?See something inaccurate? Let us know!
Select the topics that are inaccurate.
Preview not available
A call center is a service network in which agents provide telephone-based services. Customers who seek these services are delayed in tele-queues. This article summarizes an analysis of a unique record of call center operations. The data comprise a complete operational history of a small banking call center, call by call, over a full year. Taking the perspective of queueing theory, we decompose the service process into three fundamental components: arrivals, customer patience, and service durations. Each component involves different basic mathematical structures and requires a different style of statistical analysis. Some of the key empirical results are sketched, along with descriptions of the varied techniques required. Several statistical techniques are developed for analysis of the basic components. One of these techniques is a test that a point process is a Poisson process. Another involves estimation of the mean function in a nonparametric regression with lognormal errors. A new graphical technique is introduced for nonparametric hazard rate estimation with censored data. Models are developed and implemented for forecasting of Poisson arrival rates. Finally, the article surveys how the characteristics deduced from the statistical analyses form the building blocks for theoretically interesting and practically useful mathematical models for call center operations.
Journal of the American Statistical Association © 2005 American Statistical Association