A methodology for the measurement and evaluation of complex system designs

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dc.contributor.authorTalbert, Michael Laneen
dc.contributor.committeechairBalci, Osmanen
dc.contributor.committeememberNance, Richard E.en
dc.contributor.committeememberFabrycky, Wolter J.en
dc.contributor.committeememberHenry, Sallie M.en
dc.contributor.committeememberArthur, James D.en
dc.contributor.departmentComputer Scienceen
dc.date.accessioned2014-03-14T21:19:26Zen
dc.date.adate2007-10-02en
dc.date.available2014-03-14T21:19:26Zen
dc.date.issued1995en
dc.date.rdate2007-10-02en
dc.date.sdate2007-10-02en
dc.description.abstractMost complex systems incorporate hardware, software and humanware elements operating synergistically under conflicting functional and nonfunctional objectives. These systems are usually embedded, mission-critical, performance-critical, real-time, distributed, highly integrated, heterogeneous, cost millions of dollars, and take many years to develop. Examples include space stations, combat vessels and aircraft, nuclear power stations, communication networks, and robotics-based manufacturing. Early system design evaluation is essential to assess a design’s potential for satisfying operational and budgetary requirements, since a significant percentage of the system life cycle cost is committed by design decisions made early in the system life cycle. However, at the design decision point, knowledge of technology, the operational environment, the political climate, etc., on which to make technically effective and cost efficient decisions is incomplete. Consequently, early design evaluation approaches are needed which yield credible results in the presence of incomplete knowledge. This dissertation describes a multifaceted methodology for complex system design measurement and evaluation which exploits experience, techniques, and heuristics of technical and operational domain experts. The methodology is computer and knowledge based, and includes indicator-based assessment, visual simulation, the analytic hierarchy process, and fuzzy mathematics. The use of this methodology enables qualitative and quantitative measurement and evaluation of system designs at any level of detail desired. An independent assessment of the methodology by researchers and systems engineering practitioners from the DOD, other federal government agencies, commercial industry, and academia affirmed the methodology to be a useful approach in the measurement and evaluation of complex system designs.en
dc.description.degreePh. D.en
dc.format.extentxii, 324 leavesen
dc.format.mediumBTDen
dc.format.mimetypeapplication/pdfen
dc.identifier.otheretd-10022007-145050en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-10022007-145050/en
dc.identifier.urihttp://hdl.handle.net/10919/39511en
dc.language.isoenen
dc.publisherVirginia Techen
dc.relation.haspartLD5655.V856_1995.T353.pdfen
dc.relation.isformatofOCLC# 34827703en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subject.lccLD5655.V856 1995.T353en
dc.titleA methodology for the measurement and evaluation of complex system designsen
dc.typeDissertationen
dc.type.dcmitypeTexten
thesis.degree.disciplineComputer Scienceen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.leveldoctoralen
thesis.degree.namePh. D.en

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