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Stochastic models of steady state and dynamic operation of systems of congestion

Thesis (PhD (Industrial Engineering))--University of Pretoria, 2006.

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Other Authors: Yadavalli, Venkata S. Sarma
Format: Thesis
Published: University of Pretoria 2013
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access_status_str Open Access
author2 Yadavalli, Venkata S. Sarma
author_browse Yadavalli, Venkata S. Sarma
author_facet Yadavalli, Venkata S. Sarma
collection Thesis
dc_rights_str_mv © 2006, University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria.
description Thesis (PhD (Industrial Engineering))--University of Pretoria, 2006.
format Thesis
id oai:repository.up.ac.za:2263/28814
institution University of Pretoria (South Africa)
last_indexed 2026-06-10T12:37:39.235Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2013
publishDateRange 2013
publishDateSort 2013
publisher University of Pretoria
publisherStr University of Pretoria
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source_str UPSpace — University of Pretoria Institutional Repository
spelling oai:repository.up.ac.za:2263/28814 Stochastic models of steady state and dynamic operation of systems of congestion Yadavalli, Venkata S. Sarma Adendorff, Kris (Kristian) ms-ertappel@mweb.co.za Erasmus, Gert Botha Queueing theory Steady state System dynamics Transient state Waiting time Bulk system with interruption Chaos theory Systems of congestion UCTD Thesis (PhD (Industrial Engineering))--University of Pretoria, 2006. (i) The thesis sets out to address the problematic phenomenon of Systems of Congestion via Basic Queueing Theory. The theory, and its application in practice, appears to be a field of study which is the common domain of “theorists” and “practitioners”. (ii) This professional dichotomy has come about due to diverging interests in that one group is mainly interested in the purity of mathematical modelling, and the other group is motivated to use modelling, which conveniently employs applications oriented solutions. (iii) The schism between the groups has been accentuated by the “practitioners” who in addition to having an interest in steady state system behaviour make use of methods of modelling of the transient operation of complex Systems of Congestion. (iv) At the outset the thesis demonstrates how closed form solutions are obtained for steady state and transient state operation of a selection of Systems of Congestion. The attendant mathematical derivations are elegant and intricate. (v) Having revealed the limited utility of closed-form solutions the thesis proceeds to investigate the feasibility of using dynamical systems theory to study the transient behaviour of complex Systems of Congestion. (vi) The creation of Chaos Theory in recent decades suggests that it may be employed as a useful tool in analysing Systems of Congestion. Iterative Chaos Theory methods of orbit generation for complete Systems of Congestion are therefore examined. The use of such orbit generation methods is found to be satisfactory for simple Systems of Congestion. More than a perfunctory knowledge of chaos mapping is however required. The simplicity of modelling is emphasized. (vii) Based on the results of benchmarking the creation of dynamic system orbits against an existing simulation method, the research advances to modelling of the transient operation of complex systems. Once again the iterative method of orbit generation displays the ease of modelling while simultaneously unfolding system dynamics graphically. (viii) One may hopefully contend that a tool of eminent utility has been developed to aid practitioners in studying and optimizing Systems of Congestion. Industrial and Systems Engineering Unrestricted 2013-09-07T14:17:00Z 2006-10-18 2013-09-07T14:17:00Z 2006-04-26 2006-10-18 2006-10-18 Thesis Erasmus, G 2006, Stochastic models of steady state and dynamic operation of systems of congestion, PhD thesis, University of Pretoria, Pretoria, viewed yymmdd < http://hdl.handle.net/2263/28814 > http://hdl.handle.net/2263/28814 http://upetd.up.ac.za/thesis/available/etd-10182006-122618/ © 2006, University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf University of Pretoria
spellingShingle Queueing theory
Steady state
System dynamics
Transient state
Waiting time
Bulk system with interruption
Chaos theory
Systems of congestion
UCTD
Stochastic models of steady state and dynamic operation of systems of congestion
title Stochastic models of steady state and dynamic operation of systems of congestion
title_full Stochastic models of steady state and dynamic operation of systems of congestion
title_fullStr Stochastic models of steady state and dynamic operation of systems of congestion
title_full_unstemmed Stochastic models of steady state and dynamic operation of systems of congestion
title_short Stochastic models of steady state and dynamic operation of systems of congestion
title_sort stochastic models of steady state and dynamic operation of systems of congestion
topic Queueing theory
Steady state
System dynamics
Transient state
Waiting time
Bulk system with interruption
Chaos theory
Systems of congestion
UCTD
url http://hdl.handle.net/2263/28814
http://upetd.up.ac.za/thesis/available/etd-10182006-122618/