Impact of fast automated tracking of construction components on labor productivity

David Grau Torrent, Carlos H. Caldas, Carl T. Haas, Paul M. Goodrum, Jie Gong

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

4 Scopus citations

Abstract

Even though the fundamental importance of construction components in any given project, industry practices still solely rely on the human ability to individually control thousands of these components on the field. This lack of automation frequently results in critical errors that negatively affect project cost and schedule. Recently, though, the undemonstrated notion that materials tracking processes can highly benefit from the implementation of information technologies has been gaining wide industry acceptance. This paper presents the results of a massive study on a large industrial site that aimed at quantifying the impact associated with automating materials tracking processes on craft labor performance. For this purpose, field records from manual and automated tracking processes were collected during the trial. Then, the influence of the automated tracking process on construction performance was determined by considering the manual approach as the baseline for comparison. The results indicate that information technologies can significantly enhance craft labor productivity.

Original languageEnglish (US)
Title of host publication2009 26th International Symposium on Automation and Robotics in Construction, ISARC 2009
Pages505-511
Number of pages7
StatePublished - 2009
Externally publishedYes
Event2009 26th International Symposium on Automation and Robotics in Construction, ISARC 2009 - Austin, TX, United States
Duration: Jun 24 2009Jun 27 2009

Other

Other2009 26th International Symposium on Automation and Robotics in Construction, ISARC 2009
Country/TerritoryUnited States
CityAustin, TX
Period6/24/096/27/09

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Building and Construction

Fingerprint

Dive into the research topics of 'Impact of fast automated tracking of construction components on labor productivity'. Together they form a unique fingerprint.

Cite this