The Ph(t)/Ph(t)/s/c Queueing Model and Approximation

dc.contributor.authorRueda, Javier Eduardoen
dc.contributor.committeechairTaaffe, Michael R.en
dc.contributor.committeememberCastagliola, Philippeen
dc.contributor.committeememberLin, Kyle Y.en
dc.contributor.departmentIndustrial and Systems Engineeringen
dc.date.accessioned2011-08-06T14:43:08Zen
dc.date.adate2003-12-16en
dc.date.available2011-08-06T14:43:08Zen
dc.date.issued2003-12-05en
dc.date.rdate2003-12-16en
dc.date.sdate2003-12-09en
dc.description.abstractTime-dependent queueing models are important since most of real-life problems are time-dependent. We develop a numerical approximation algorithm for the mean, variance and higher-order moments of the number of entities in the system at time t for the Ph(t)/Ph(t)/s/c queueing model. This model can be thought as a reparameterization to the G(t)/GI(t)/s. Our approach is to partition the state space into known and identifiable structures, such as the M(t)/M(t)/s/c or M(t)/M(t)/1 queueing models. We then use the Polya-Eggenberger distribution to approximate certain unknown probabilities via a two-moment matching algorithm. We describe the necessary steps to validate the approximation and measure the accuracy of the model.en
dc.description.degreeMaster of Scienceen
dc.format.mediumETDen
dc.identifier.otheretd-12092003-164431en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-12092003-164431en
dc.identifier.urihttp://hdl.handle.net/10919/9637en
dc.publisherVirginia Techen
dc.relation.haspartPhtPhtscThesisR1.pdfen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectPolya-Eggenbergeren
dc.subjectQueueingen
dc.subjectphase-typeen
dc.subjectstochasticen
dc.subjecttime-dependent queuesen
dc.titleThe Ph(t)/Ph(t)/s/c Queueing Model and Approximationen
dc.typeThesisen
thesis.degree.disciplineIndustrial and Systems Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

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