DocumentCode :
677635
Title :
Using simulation to evaluate call forecasting algorithms for inbound call center
Author :
Steinmann, Guilherme ; de Freitas Filho, Paulo Jose
Author_Institution :
Dept. of Inf. & Stat., Fed. Univ. of Santa Catarina, Florianópolis, Brazil
fYear :
2013
fDate :
8-11 Dec. 2013
Firstpage :
1132
Lastpage :
1139
Abstract :
The call center industry has expanded greatly over recent years and it is constantly striving to increase business efficiency and customer service effectiveness. Incoming call volume forecasting algorithms are used in inbound call centers to predict the demand for services and, as a result, to plan resource allocation. However, a number of phenomena can have an impact on incoming call volumes, meaning that classical forecasting algorithms will produce less than satisfactory results. When evaluating the performance of a forecasting algorithm, acquiring the data needed for research is not always straightforward. This article shows how simulation can be of use to generate data that can be used to evaluate incoming call forecasting algorithms.
Keywords :
call centres; customer services; forecasting theory; resource allocation; service industries; business efficiency; call center industry; call forecasting algorithms; call volume forecasting algorithms; customer service effectiveness; inbound call center; resource allocation; simulation; Analytical models; Data models; Forecasting; Generators; Predictive models; Solid modeling; Time series analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Simulation Conference (WSC), 2013 Winter
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4799-2077-8
Type :
conf
DOI :
10.1109/WSC.2013.6721502
Filename :
6721502
Link To Document :
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