Proactive Planning and Control of Construction Productivity and Cost Using Time Series Data

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.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Civil Engineering

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2007

Author dc:creator

• Hwang, Seok Yon

Contributors dc:contributor

• Liu, Liang Y.

• Mathematics

Language dc:language

eng

Identifier

(MiAaPQ)AAI3301153

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/83358