A queuing system with risk-averse customers: Sensitivity Analysis of Performance

Details

Serval ID
serval:BIB_9044DB07EF36
Type
Inproceedings: an article in a conference proceedings.
Collection
Publications
Institution
Title
A queuing system with risk-averse customers: Sensitivity Analysis of Performance
Title of the conference
Proceedings of the 2011 IEEE International Conference on Industrial Engineering and Engineering Management
Author(s)
Delgado-Alvarez C.A., van Ackere A., Larsen E.R.
Publisher
IEEE
Address
Singapore, Singapore
ISBN
978-1-4577-0739-1
Publication state
Published
Issued date
2011
Peer-reviewed
Oui
Pages
1720-1724
Language
english
Abstract
In this paper, we incorporate decision rules based on adaptive behaviour in order to analyze the impact of customers' decisions on queue formation. We deviate from most of the literature in that we model dynamic queuing systems with deterministic and endogenous arrivals. We apply a one-dimensional cellular automata in order to model the research problem. We describe a self organizing queuing system with local interaction and locally rational customers. They decide which facility to use considering both their expected sojourn time and their uncertainty regarding these expectations. These measures are updated each period applying adaptive expectations and using customers' experience and that of their local neighbours. This paper illustrates how the average sojourn time of customers in the system depends on their characteristics. These characteristics define how risk-averse customers are as well as how conservative they are regarding new information.
Keywords
Cellular Automata, Queuing System, Sensitivity Analysis, Simulation, Uncertainty
Web of science
Create date
23/11/2012 11:46
Last modification date
21/08/2019 5:17
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