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dc.contributor.advisorSir, Mustafa Yasareng
dc.contributor.authorGhavrish, Artemeng
dc.date.issued2012eng
dc.date.submitted2012 Summereng
dc.descriptionTitle from PDF of title page (University of Missouri--Columbia, viewed on November 2, 2012).eng
dc.descriptionThe entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file.eng
dc.descriptionThesis advisor: Dr. Mustafa Sireng
dc.descriptionIncludes bibliographical references.eng
dc.descriptionM.S. University of Missouri--Columbia, 2012.eng
dc.description"Jul[y] 2012"eng
dc.description.abstractIn a hospital laboratory premature cancellations of the test orders are driving up the laboratory running cost as they result in wasted resources and time. A test order that is cancelled during its processing results in waste of laboratory resources (labor, materials, etc.). We develop a queuing heuristic that prioritizes orders based on their cancellation probability and tardiness. The cancellation probability is a function of order attributes (type of test, the doctor requested the test, urgency, etc.) and can be estimated from historical data. We compare the cost and timeliness of lab orders from our prioritization scheme against those from a First-Come-First-Served queuing system. Having no control over the nature of the tests ordering (arrival) and their cancellations (departure) we model them as random processes that follow certain probability distributions and include them into a Dynamic Programming model that attempts to minimize the expected total running cost by picking the "right" test to process at every decision epoch.eng
dc.format.extentvii, 85 pageseng
dc.identifier.urihttp://hdl.handle.net/10355/15948
dc.languageEnglisheng
dc.publisherUniversity of Missouri--Columbiaeng
dc.rightsOpenAccess.eng
dc.rights.licenseThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License.
dc.subjectorder prioritizationeng
dc.subjectcancellation probabilityeng
dc.subjecthospital laboratoryeng
dc.subjectdynamic programming modeleng
dc.titlePrioritization of hospital orders considering cancellation probabilitieseng
dc.typeThesiseng
thesis.degree.disciplineIndustrial and manufacturing systems engineering (MU)eng
thesis.degree.grantorUniversity of Missouri--Columbiaeng
thesis.degree.levelMasterseng
thesis.degree.nameM.S.eng


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