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Title: The Impact of Correlation on Queueing Systems
Authors: Skoularikis, Sonia
Advisors: Massey, William
Department: Operations Research and Financial Engineering
Class Year: 2015
Abstract: In unobservable or ticket queues, customers have multiple opportunities to abandon the queue. Arriving customers can balk based on the queue length or renege due to the virtual waiting time. In all the current literature, the balking and reneging distributions are considered independent. Removing this assumption, we study the impact of dependent balking and reneging on the queue length and workload processes. We will show that increasing the correlation between balking and reneging increases congestion in the queue. Furthermore, we compare characteristics of the simulated queue processes to their heavy traffic approximations and find them to be largely accurate.
Extent: 133 pages
Type of Material: Princeton University Senior Theses
Language: en_US
Appears in Collections:Operations Research and Financial Engineering, 2000-2017

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