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2007 Liu, Liang Y. Hwang, Seok Yon 2015-09-25T21:04:29Z 2015-09-25T21:04:29Z 10000-01-01 2007 Using the proposed models, practitioners can objectively and accurately predict construction productivity and cost in a timely manner. Thereby, practitioners can make more reliable decisions and implement the decisions in a more effective way while managing projects. Overall, it is envisioned that the new approach can help practitioners to be more proactive so that they can reduce potential risk in the future construction processes, improve efficiency of collaboration and coordination among participants involved in a project, enhance updating on-site plans and schedules, and optimize resource use. It is also conceivable that the proposed method can be integrated with supportive technologies for automatic data collection and analysis, so it will potentially support the real-time planning and control of construction processes in the future. Made available in DSpace on 2015-09-25T21:04:29Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 3301153.pdf: 6095830 bytes, checksum: 07bd98f3d0de5e8410a29bdd7fc112eb (MD5) Previous issue date: 2007 Embargo set by: Seth Robbins for item 84639 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs U of I Only 201 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2007. http://hdl.handle.net/2142/83358 (MiAaPQ)AAI3301153 eng Mathematics Proactive Planning and Control of Construction Productivity and Cost Using Time Series Data text Civil Engineering Civil Engineering University of Illinois at Urbana-Champaign Dissertation Ph.D.