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