Automated Materials Tracking and Locating: Impact Modeling and Estimation
by D. Young, (Graduate student, Department of Civil and Environmental Engineering, University of Waterloo, Waterloo, ON. E-mail: d2young@engmail.uwaterloo.ca), H. Nasir, (Graduate student, Department of Civil and Environmental Engineering, University of Waterloo, Waterloo, ON. E-mail: hnasir@engmail.uwaterloo.ca), S. Razavi, (Graduate student, Department of Civil and Environmental Engineering, University of Waterloo, Waterloo, ON. E-mail: snawabza@engmail.uwaterloo.ca), C. Haas, (Professor, Department of Civil and Environmental Engineering, University of Waterloo, Waterloo, ON. E-mail: chaas@civmail.uwaterloo.ca), P. Goodrum, (Associate Professor, Department of Civil Engineering, University of Kentucky, Lexington, KY. E-mail: pgoodrum@engr.uky.edu), and C. Caldas, (Assistant Professor, Department of Civil, Architectural, and Environmental Engineering, The University of Texas at Austin, TX. E-mail: caldas@mail.utexas.edu)
Section: Automated/Real Time Systems, pp. 41-50, (doi: http://dx.doi.org/10.1061/41109(373)5)
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| Document type: |
Conference Proceeding Paper |
| Part of: |
Construction Research Congress 2010: Innovation for Reshaping Construction Practice |
| Abstract: |
Successful, large scale field trials were conducted on two sites in Texas and Toronto using an integrated system of RFID tags, GPS technology, map software, and hand held computing to automatically track materials in the projects’ respective lay down yards. This paper addressed the unresolved research question, that how will this technology impact projects if it is implemented upstream in the supply chain in an integrated and automated materials management system? This question is addressed by modeling the impact of automated materials tracking technology on increasing visibility within the construction supply chain. It is concluded that automated materials tracking has the potential to improve construction productivity, cost, and schedule performance. |
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