Abstract
In order to solve the current problem that banking customers wait too long, the agent-based simulation model of queuing system is proposed. The customer, queue, server and ATM are abstracted different agents. The operation of bank queuing system was simulated through the interaction among agents. In our model, an algorithm for adjusting the server queue dynamically was presented to reduce the average waiting time of customers. The experiment and analysis show that our model can simulate the operation of bank queuing system actually, which utilizes the existing resources and promotes the customer satisfaction.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Song, G.: Research on the Affect on of Customers’ Satisfaction in Retail Banking. Journal of Central University of Finance & Economics (3), 33–38 (2010)
Jin, Y.S., Ming, X., Li, X., Wen, J.Y., Jin, D.: Customer-centric optimal resource reconfiguration for service outlet. In: IEEE/INFORMS International Conference on Service Operations, Logistics and Informatics, pp. 754–759. IEEE, Chicago (2009)
Chao, H.J.: A novel architecture for queue management in the ATM network. IEEE Journal on Selected Areas in Communications 9(7), 1110–1118 (1991)
Li, C., Yang, G., Yin, Y.: Agent Based Simulation of Bank Queuing System. Computer Simulation 25(12), 277–280 (2008)
Zheng, Q.: Commercial bank queuing problems and countermeasures in our country. Business Culture(Academic) (12), 128 (2008)
Wilensky, U.: NetLogo: Center for Connected Learning and Computer-Based Modeling[EB/OL]. Northwestern University, Evanston, IL, Center for Connected Learning and Computer-Based Modeling (1999), http://ccl.northwestern.edu/netlogo
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer Berlin Heidelberg
About this paper
Cite this paper
Zhang, Q. (2012). Multi-agent Based Bank Queuing Model and Optimization. In: Jin, D., Lin, S. (eds) Advances in Electronic Engineering, Communication and Management Vol.2. Lecture Notes in Electrical Engineering, vol 140. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27296-7_20
Download citation
DOI: https://doi.org/10.1007/978-3-642-27296-7_20
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27295-0
Online ISBN: 978-3-642-27296-7
eBook Packages: EngineeringEngineering (R0)