Development of a framework for identifying information bottlenecks and evaluating different data capture technologies to support proactive productivity management

Te Gao, Semiha Ergan, Burcu Akinci, James H. Garrett, Lucio Soibelman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Construction companies need to continuously improve construction productivity to stay competitive. One of the main means to achieve construction productivity improvement is to reduce the uncertainty about, and to increase the command and control of, construction processes. Most of the current productivity management practices assess and control the productivity in a reactive manner, which take corrective actions only after the problems (such as when there are schedule delays or lower than expected production rates) are identified. Instead of relying on reactive responses to problems, we propose to proactively prevent problems by identifying and removing information bottlenecks before construction activities start. We consider assumptions as a major source to identify information bottlenecks that are associated with construction processes. In order to support proactive construction productivity management, we have developed a framework to capture assumptions made during construction processes and to reduce the uncertainty through proactive verification of the assumptions. This paper presents the vision for such a framework, and demonstrates the nature and required functionalities of the framework.

Original languageEnglish (US)
Title of host publicationConstruction Research Congress 2012: Construction Challenges in a Flat World, Proceedings of the 2012 Construction Research Congress
Pages356-365
Number of pages10
DOIs
StatePublished - 2012
EventConstruction Research Congress 2012: Construction Challenges in a Flat World - West Lafayette, IN, United States
Duration: May 21 2012May 23 2012

Other

OtherConstruction Research Congress 2012: Construction Challenges in a Flat World
CountryUnited States
CityWest Lafayette, IN
Period5/21/125/23/12

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Data acquisition
Productivity
Industry

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Building and Construction

Cite this

Gao, T., Ergan, S., Akinci, B., Garrett, J. H., & Soibelman, L. (2012). Development of a framework for identifying information bottlenecks and evaluating different data capture technologies to support proactive productivity management. In Construction Research Congress 2012: Construction Challenges in a Flat World, Proceedings of the 2012 Construction Research Congress (pp. 356-365) https://doi.org/10.1061/9780784412329.036

Development of a framework for identifying information bottlenecks and evaluating different data capture technologies to support proactive productivity management. / Gao, Te; Ergan, Semiha; Akinci, Burcu; Garrett, James H.; Soibelman, Lucio.

Construction Research Congress 2012: Construction Challenges in a Flat World, Proceedings of the 2012 Construction Research Congress. 2012. p. 356-365.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Gao, T, Ergan, S, Akinci, B, Garrett, JH & Soibelman, L 2012, Development of a framework for identifying information bottlenecks and evaluating different data capture technologies to support proactive productivity management. in Construction Research Congress 2012: Construction Challenges in a Flat World, Proceedings of the 2012 Construction Research Congress. pp. 356-365, Construction Research Congress 2012: Construction Challenges in a Flat World, West Lafayette, IN, United States, 5/21/12. https://doi.org/10.1061/9780784412329.036
Gao T, Ergan S, Akinci B, Garrett JH, Soibelman L. Development of a framework for identifying information bottlenecks and evaluating different data capture technologies to support proactive productivity management. In Construction Research Congress 2012: Construction Challenges in a Flat World, Proceedings of the 2012 Construction Research Congress. 2012. p. 356-365 https://doi.org/10.1061/9780784412329.036
Gao, Te ; Ergan, Semiha ; Akinci, Burcu ; Garrett, James H. ; Soibelman, Lucio. / Development of a framework for identifying information bottlenecks and evaluating different data capture technologies to support proactive productivity management. Construction Research Congress 2012: Construction Challenges in a Flat World, Proceedings of the 2012 Construction Research Congress. 2012. pp. 356-365
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