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dc.rights.licenseCC-BY-NC-ND
dc.contributor.advisorDajani, Karma
dc.contributor.authorSchelling, W.D.
dc.date.accessioned2015-02-13T18:00:44Z
dc.date.available2015-02-13T18:00:44Z
dc.date.issued2015
dc.identifier.urihttps://studenttheses.uu.nl/handle/20.500.12932/19376
dc.description.abstractThe 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.sponsorshipUtrecht University
dc.format.extent1016270
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.titleAnalyzing a queueing network
dc.type.contentMaster Thesis
dc.rights.accessrightsOpen Access
dc.subject.keywordsqueueing theory, markov chains, simulation
dc.subject.courseuuMathematical Sciences


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