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Al-Hussein, M, Alkass, S and Moselhi, O (2005) Optimization Algorithm for Selection and on Site Location of Mobile Cranes. Journal of Construction Engineering and Management, 131(05), 579–90.

Bernold, L E (2005) Paradigm Shift in Construction Education is Vital for the Future of Our Profession. Journal of Construction Engineering and Management, 131(05), 533–9.

Dunston, P S, Gambatese, J A and McManus, J F (2005) Assessing State Transportation Agency Constructability Implementation. Journal of Construction Engineering and Management, 131(05), 569–78.

El-Diraby, T E and Kashif, K F (2005) Distributed Ontology Architecture for Knowledge Management in Highway Construction. Journal of Construction Engineering and Management, 131(05), 591–603.

Georgy, M E, Chang, L and Zhang, L (2005) Prediction of Engineering Performance: A Neurofuzzy Approach. Journal of Construction Engineering and Management, 131(05), 548–57.

Georgy, M E, Chang, L and Zhang, L (2005) Utility-Function Model for Engineering Performance Assessment. Journal of Construction Engineering and Management, 131(05), 558–68.

Hegazy, T and Zhang, K (2005) Daily Windows Delay Analysis. Journal of Construction Engineering and Management, 131(05), 505–12.

Hegazy, T, Elbeltagi, E and Zhang, K (2005) Keeping Better Site Records Using Intelligent Bar Charts. Journal of Construction Engineering and Management, 131(05), 513–21.

Kim, K and de la Garza, J M (2005) Evaluation of the Resource-Constrained Critical Path Method Algorithms. Journal of Construction Engineering and Management, 131(05), 522–32.

Lueke, J S and Ariaratnam, S T (2005) Surface Heave Mechanisms in Horizontal Directional Drilling. Journal of Construction Engineering and Management, 131(05), 540–7.

Sacks, R, Navon, R, Brodetskaia, I and Shapira, A (2005) Feasibility of Automated Monitoring of Lifting Equipment in Support of Project Control. Journal of Construction Engineering and Management, 131(05), 604–14.

  • Type: Journal Article
  • Keywords: Automation; Cranes; Data collection; Information management; Project management; Construction equipment;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(2005)131:5(604)
  • Abstract:
    One of the differences between industrial manufacturing or processing plants and construction sites is the temporary nature of the construction site, which has traditionally precluded installation of sophisticated production monitoring systems. Monitoring of production progress, cost, and quality is performed almost exclusively manually, with the result that it is expensive and approximate, and is commonly delivered with a time lag that does not allow for an effectively closed control loop. Automated monitoring of construction lifting equipment to provide useful feedback information for project management is a strong potential candidate; almost all components and materials must be transported by machines, and monitoring of machines is relatively straightforward. A system concept, employing a “black box” monitor and an electronic building information model, was developed. A field study was conducted to test the feasibility of the concept. The results indicate that the system is technically feasible, and offers the potential to deliver real-time, accurate project control information at very low cost.