Title :
Call center simulation modeling: methods, challenges, and opportunities
Author :
Mehrotra, Vivek ; Fama, Jason
Author_Institution :
Dept. of Decision Sci., San Francisco State Univ., CA, USA
Abstract :
Using stochastic models to plan call center operations, schedule call center staff efficiently, and analyze projected performance is not a new phenomenon, dating back to Erlang\´s work in the early twentieth century. However, several factors have recently conspired to increase demand for call center simulation analysis. In this tutorial, we will provide an overview of call center simulation models, highlighting typical inputs and data sources, modeling challenges, and key model outputs. In the process, we will also present an interesting "real-world" example of effective use of call center simulation.
Keywords :
business data processing; call centres; computer operating procedures; customer services; digital simulation; human resource management; personnel; stochastic processes; Web; acquisition activity; business volatility; call center operation planning; call center simulation modeling; call traffic complexity; chat; desktop computing; email; inbound phone; merger activity; methods; model outputs; modeling challenges; multiple customer channels; opportunities; outbound phone; outsourcing options; projected performance analysis; real-world example; simulation analysis; simulation models; skill based routing; staff scheduling; stochastic models; Analytical models; Costs; Energy management; Job shop scheduling; Management training; Personnel; Quality management; Routing; Statistics; System performance;
Conference_Titel :
Simulation Conference, 2003. Proceedings of the 2003 Winter
Print_ISBN :
0-7803-8131-9
DOI :
10.1109/WSC.2003.1261416