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dc.contributor.advisorSanchez, Paulen_US
dc.contributor.authorLoggins, William Conley, 1953-
dc.creatorLoggins, William Conley, 1953-en_US
dc.date.accessioned2013-03-28T10:29:53Z
dc.date.available2013-03-28T10:29:53Z
dc.date.issued1989en_US
dc.identifier.urihttp://hdl.handle.net/10150/277131
dc.description.abstractThe subject of this thesis is the development of an expert system to offer advising for variance reduction technique (VRT) selection in simulation. Simulation efficiency is increased by appropriate use of variance reduction techniques. The process of selecting VRTs brings a sharper focus to issues of experimental design and thus to the very purpose and objectives to be attained by the simulation. Students in the University of Arizona Systems and Industrial Engineering Department graduate courses are the intended users of this expert system, with the expectation that their practice of simulation will be facilitated.
dc.language.isoen_USen_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.subjectSimulation methods.en_US
dc.subjectDecision making.en_US
dc.subjectExpert systems (Computer science)en_US
dc.titleThe development and evaluation of an expert system for identification of variance reduction techniques in simulationen_US
dc.typetexten_US
dc.typeThesis-Reproduction (electronic)en_US
dc.identifier.oclc23168086en_US
thesis.degree.grantorUniversity of Arizonaen_US
thesis.degree.levelmastersen_US
dc.identifier.proquest1338524en_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.disciplineSystems and Industrial Engineeringen_US
thesis.degree.nameM.S.en_US
dc.identifier.bibrecord.b17584383en_US
refterms.dateFOA2018-09-04T04:15:40Z
html.description.abstractThe subject of this thesis is the development of an expert system to offer advising for variance reduction technique (VRT) selection in simulation. Simulation efficiency is increased by appropriate use of variance reduction techniques. The process of selecting VRTs brings a sharper focus to issues of experimental design and thus to the very purpose and objectives to be attained by the simulation. Students in the University of Arizona Systems and Industrial Engineering Department graduate courses are the intended users of this expert system, with the expectation that their practice of simulation will be facilitated.


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