DocumentCode
402126
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
Volume
1
fYear
2003
fDate
7-10 Dec. 2003
Firstpage
135
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Simulation Conference, 2003. Proceedings of the 2003 Winter
Print_ISBN
0-7803-8131-9
Type
conf
DOI
10.1109/WSC.2003.1261416
Filename
1261416
Link To Document