An implementation model for automated construction materials tracking and locating

Author:

Nasir Hassan123,Haas Carl T.123,Young Duncan A.123,Razavi Saiedeh Nawabzadi123,Caldas Carlos123,Goodrum Paul123

Affiliation:

1. Department of Civil and Environmental Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada.

2. Department of Civil, Architectural, and Environmental Engineering, The University of Texas at Austin, 1 University Station C1752, Austin, TX 78712-0273, USA.

3. Department of Civil Engineering, 151C Raymond Building, University of Kentucky, Lexington, KY 40506-0281, USA.

Abstract

Good materials management on large construction projects is critical for maximizing productivity and project performance. When key materials are temporarily lost, whole crews may be left idle and the project may be delayed. When key materials are completely lost, the impact can be enormous. In fact, one of the major problems in managing construction materials and equipment is tracking them in the supply chain and knowing their location on large job sites. Fortunately, location can now be automatically estimated within metres using emerging technologies. This paper proposes a general implementation model for automated construction materials tracking and locating on large industrial projects, such as refineries and power plants. It includes a methodology for determining what type of technology should be used for different types of projects and construction materials. It is based on an analysis of the capabilities of emerging technologies and on experience gained from implementing automated materials tracking prototypes on two large industrial projects. It is concluded that these technologies can produce substantial net benefits, if implemented properly on the right projects using the model described here.

Publisher

Canadian Science Publishing

Subject

General Environmental Science,Civil and Structural Engineering

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