Fusing data from multiple sources to support project management tasks

Semiha Kiziltas, Anu Pradhan, Burcu Akinci

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

Abstract

Capturing project data and storing it in an integrated way during construction is important not only for project monitoring, but also for reuse of project historical knowledge in upcoming projects. Various data items need to be collected at a job site and integrated to support decisions during and after construction. There are issues associated with utilization of these data items as these data items typically come from a variety of data sources, are stored in multiple databases and might not be at the level of detail required for a specific decision. To be able to fully take advantage of a variety of data that is being collected, these issues need to be addressed. This paper overviews a multi-data source fusion approach and describes a set of mechanisms implemented to support production rate related decisions of cost estimators and productivity analyses of project managers during construction.

Original languageEnglish (US)
Title of host publicationComputing in Civil Engineering - Proceedings of the 2007 ASCE International Workshop on Computing in Civil Engineering
Pages411-418
Number of pages8
DOIs
StatePublished - 2007
Event2007 ASCE International Workshop on Computing in Civil Engineering - Pittsburgh, PA, United States
Duration: Jul 24 2007Jul 27 2007

Publication series

NameCongress on Computing in Civil Engineering, Proceedings

Other

Other2007 ASCE International Workshop on Computing in Civil Engineering
CountryUnited States
CityPittsburgh, PA
Period7/24/077/27/07

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Computer Science Applications

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  • Cite this

    Kiziltas, S., Pradhan, A., & Akinci, B. (2007). Fusing data from multiple sources to support project management tasks. In Computing in Civil Engineering - Proceedings of the 2007 ASCE International Workshop on Computing in Civil Engineering (pp. 411-418). (Congress on Computing in Civil Engineering, Proceedings). https://doi.org/10.1061/40937(261)50