• 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