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Leveraging Technology to Improve Construction Productivity, Volume II: LEVER: The Predictive Model

Publication No
RR240-12
Type
Academic Document
Publication Date
Feb 01, 2013
Pages
52
Research Team
RT-240
DOCUMENT DETAILS
Abstract
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Abstract
Successful use of technology to improve construction productivity involves more than the technical characteristics of the technology. Many factors simultaneously influence construction productivity, including work force characteristics, management processes, and technological innovations. To control for these and other external factors, Research Team 240 used a three-pronged approach to develop recommendations, guidelines, and procedures to effectively leverage technology to improve construction projects. To give a full account of each part of this approach, this report is organized into three volumes. Research Report (RR) 240-11 (Volume I) presents the team’s data analysis on the ways historical changes in construction equipment, materials, and information technologies have influenced improvements in construction productivity. RR240-12 (Volume II) details a comprehensive field test of materials tracking and locating technologies that the team conducted to measure how such technologies can improve productivity on typical industrial projects. Finally, RR240-13 (Volume III) describes a four-stage predictive model that estimates a technology’s potential to have a positive impact on construction productivity. In summary, the three volumes of this report illuminate the multifaceted relationship between technology and construction productivity. Through significant statistical analyses, field trials, and tool development, the three parts of this research project have demonstrated how technology can be used to leverage productivity.
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Research Topic
Leveraging Technology to Improve Construction Productivity
Keywords
Technology Prediction Tool, Adoption of New Technologies, Improved Construction Productivity, Automated Materials Identification, Technology, rt240