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dc.contributor.advisorHasenbein, John J.
dc.creatorWang, Shaochen
dc.date.accessioned2019-02-07T17:06:12Z
dc.date.available2019-02-07T17:06:12Z
dc.date.created2018-12
dc.date.issued2019-02-06
dc.date.submittedDecember 2018
dc.identifierdoi:10.15781/T2862BZ40
dc.identifier.urihttp://hdl.handle.net/2152/72833
dc.description.abstractIn the United States, the Model for End-Stage Liver Disease (MELD) scoring system is implemented to rank patients that are on the liver transplantation waiting list. However, this system is too complex to be directly analyzed. Thus, a multiple class single server queueing model with abandonments and promotions is developed as a simplified version of the original system. The queueing model is analyzed using discrete event simulation. In general, the simulation results indicate that the [rho alpha] rule and the c / [alpha] rule seem to hold for minimizing the system abandonment rate and the total holding cost respectively. While the r [alpha] rule does not seem to hold for maximizing the system reward.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.subjectQueueing model
dc.subjectDiscrete event simulation
dc.subjectModel for End-Stage Liver Disease
dc.subjectMELD
dc.subjectLiver transplant waiting list
dc.subjectQueueing system
dc.subjectMultiple class queueing system
dc.titleDiscrete event simulation analysis on multiple class single server queueing system with abandonments and promotions
dc.typeThesis
dc.date.updated2019-02-07T17:06:12Z
dc.description.departmentOperations Research and Industrial Engineering
thesis.degree.departmentOperations Research and Industrial Engineering
thesis.degree.disciplineOperations Research and Industrial Engineering
thesis.degree.grantorThe University of Texas at Austin
thesis.degree.levelMasters
thesis.degree.nameMaster of Science in Engineering
dc.type.materialtext


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