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Canales, A R, Arbelaez, M, Vasquez, E, Aveiga, F, Strong, K, Walters, R, Jaselskis, E J and Jahren, C T (2009) Exploring Training Needs and Development of Construction Language Courses for American Supervisors and Hispanic Craft Workers. Journal of Construction Engineering and Management, 135(05), 387–96.

Dai, J, Goodrum, P M, Maloney, W F and Srinivasan, C (2009) Latent Structures of the Factors Affecting Construction Labor Productivity. Journal of Construction Engineering and Management, 135(05), 397–406.

Hegab, M and Smith, G R (2009) Labor Performance Analysis for Microtunneling Projects. Journal of Construction Engineering and Management, 135(05), 432–5.

Hinze, J and Olbina, S (2009) Empirical Analysis of the Learning Curve Principle in Prestressed Concrete Piles. Journal of Construction Engineering and Management, 135(05), 425–31.

Hwang, S (2009) Dynamic Regression Models for Prediction of Construction Costs. Journal of Construction Engineering and Management, 135(05), 360–7.

Jang, W and Skibniewski, M J (2009) Cost-Benefit Analysis of Embedded Sensor System for Construction Materials Tracking. Journal of Construction Engineering and Management, 135(05), 378–86.

  • Type: Journal Article
  • Keywords: Benefit cost ratios; Tracking; Positioning; Construction management; Construction materials; Sensors;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(2009)135:5(378)
  • Abstract:
    Tracking and monitoring the location of materials on a construction job site is an important, yet commonly overlooked aspect of field data acquisition because timely information about the status of materials, equipment, tools, and labor resources are directly related to the successful completion of a project. With the advanced technologies and innovations in the construction industry, it has become technically viable to implement automated tracking for construction materials. Through the development of an embedded sensor system, this paper illustrates the implementation of pilot experiments examining the accuracy of a system’s performance. A cost-benefit analysis is conducted to illustrate labor savings associated with construction materials handling by comparison between manual and sensor-based materials tracking. The presented embedded sensor system can be extended into diverse application areas in tracking and monitoring framework by providing improved method of field data acquisition and information management.

Lewis, P, Rasdorf, W, Frey, H C, Pang, S and Kim, K (2009) Requirements and Incentives for Reducing Construction Vehicle Emissions and Comparison of Nonroad Diesel Engine Emissions Data Sources. Journal of Construction Engineering and Management, 135(05), 341–51.

Lucko, G and Peña Orozco, A A (2009) Float Types in Linear Schedule Analysis with Singularity Functions. Journal of Construction Engineering and Management, 135(05), 368–77.

Mao, X, Zhang, X and AbouRizk, S M (2009) Enhancing Value Engineering Process by Incorporating Inventive Problem-Solving Techniques. Journal of Construction Engineering and Management, 135(05), 416–24.

Mitropoulos, P and Cupido, G (2009) Safety as an Emergent Property: Investigation into the Work Practices of High-Reliability Framing Crews. Journal of Construction Engineering and Management, 135(05), 407–15.

Moynihan, G, Zhou, H and Cui, Q (2009) Stochastic Modeling for Pavement Warranty Cost Estimation. Journal of Construction Engineering and Management, 135(05), 352–9.