Analyzing a queueing network

dc.rights.license	CC-BY-NC-ND
dc.contributor.advisor	Dajani, Karma
dc.contributor.author	Schelling, W.D.
dc.date.accessioned	2015-02-13T18:00:44Z
dc.date.available	2015-02-13T18:00:44Z
dc.date.issued	2015
dc.identifier.uri	https://studenttheses.uu.nl/handle/20.500.12932/19376
dc.description.abstract	The purpose of the thesis is to help ING Bank to get a better understanding of their ICT landscape. Since the ICT landscape of ING Bank is very large, we will focus on a speciﬁc part of the ICT landscape. ING Bank wants to identify the bottlenecks more quickly. Therefore we develop two diﬀerent mathematical tools which can help in identifying the bottlenecks of such a complex queueing system. The ﬁrst tool is a simulation tool using the program Rockwell Arena. The second tool is an analytical approach, based on Markov chains. Both tools have some advantages and disadvantages which we also discuss in the thesis.
dc.description.sponsorship	Utrecht University
dc.format.extent	1016270
dc.format.mimetype	application/pdf
dc.language.iso	en
dc.title	Analyzing a queueing network
dc.type.content	Master Thesis
dc.rights.accessrights	Open Access
dc.subject.keywords	queueing theory, markov chains, simulation
dc.subject.courseuu	Mathematical Sciences