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dc.contributor.advisorThomas, Stephen Richard, 1949-en
dc.contributor.advisorO'Brien, Williamen
dc.creatorLiao, Pin-chao, 1977-en
dc.date.accessioned2012-10-09T18:09:49Zen
dc.date.available2012-10-09T18:09:49Zen
dc.date.issued2008-12en
dc.identifier.urihttp://hdl.handle.net/2152/18250en
dc.descriptiontexten
dc.description.abstractEffective management of engineering productivity is critical to achieving overall project success (CII 2001). Although engineering cost has approached to the level of 20 percent of a project’s total cost on some industrial projects, engineering productivity is not well understood. For these reasons, the Construction Industry Institute (CII) developed an Engineering Productivity Measurement System (EPMS) that consists of quantity-based metrics to directly measure engineering productivity, and drive continuous performance improvement. However, barriers to system implementation exist. Productivity metrics in the EPMS are measured for various disciplines and thus evaluating overall productivity was initially difficult because of the lack of a summary metric. Because the EPMS is still new to the industry, limited understanding of its metrics has presented a challenge to gaining acceptance for its use in benchmarking. This has inhibited the realization of its potential for supporting improvement. Now that a dataset for the EPMS has been compiled, however, analyses can be performed to support research and the resulting findings will help to overcome implementation barriers of the EPMS. The author developed this research with data from the EPMS and input from industry. Feedback was collected in CII training sessions, committee meetings, and industry forums. The researcher undertook quantitative analyses using the EPMS data. The results will assist industry practitioners to effectively monitor and manage engineering process to reach project success. Four main objectives were achieved in this study: 1) discipline and project level indices to summarize engineering productivity were constructed; 2) influence factors as a foundation of engineering productivity improvement were identified; 3) discipline information dependencies were measured quantitatively; and 4) the associations between engineering productivity and project performance were documented.en
dc.format.mediumelectronicen
dc.language.isoengen
dc.rightsCopyright is held by the author. Presentation of this material on the Libraries' web site by University Libraries, The University of Texas at Austin was made possible under a limited license grant from the author who has retained all copyrights in the works.en
dc.subject.lcshProduction managementen
dc.subject.lcshEngineering--Managementen
dc.subject.lcshConstruction industry--Production controlen
dc.titleInfluence factors of engineering productivity and their impact on project performanceen
dc.description.departmentCivil, Architectural, and Environmental Engineeringen
thesis.degree.departmentCivil, Architectural, and Environmental Engineeringen
thesis.degree.disciplineCivil Engineeringen
thesis.degree.grantorThe University of Texas at Austinen
thesis.degree.levelDoctoralen
thesis.degree.nameDoctor of Philosophyen


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