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dc.contributor.advisorAllen, Theodore
dc.creatorFriedman, Aaron P.
dc.date.accessioned2005-02-28T22:26:31Z
dc.date.available2005-02-28T22:26:31Z
dc.date.issued2005-03
dc.identifier.urihttp://hdl.handle.net/1811/271
dc.description.abstractThe industrial gravitation towards data driven improvement methods is absent from university departmental strategies. In order to apply a systems approach to department improvement, data driven quality metrics (system outputs) and controllable system inputs must be found and correlated. This paper explores these correlations in the context of highly ranked industrial and manufacturing engineering departments. Variations in the way each department operates are discussed in terms of their correlation to both currently used quality metrics and proposed data driven metrics. The conclusion is reached that a Pareto surface exists constraining the department research expenditures and peer determined U.S. News and World Report department ranking. This balance is controlled primarily by the proportion of theoretical and practical faculty members for the respective field.en
dc.format.extent56539 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherThe Ohio State University
dc.relation.ispartofseriesThe Ohio State University. Department of Industrial and Systems Engineering Honors Theses; 2005
dc.subjectDepartmentalen
dc.subjectMulticollinearityen
dc.subjectU.S. News and World Reporten
dc.subjectRankingsen
dc.subjectValue-addeden
dc.titleToward Data Driven University Departmental Strategiesen
dc.typeThesisen
dc.typeWorking Paperen


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