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Dunston, P S and Wang, X (2005) Mixed Reality-Based Visualization Interfaces for Architecture, Engineering, and Construction Industry. Journal of Construction Engineering and Management, 131(12), 1301–9.

El-Rayes, K and Hyari, K (2005) Optimal Lighting Arrangements for Nighttime Highway Construction Projects. Journal of Construction Engineering and Management, 131(12), 1292–300.

Ibbs, W and Liu, M (2005) Improved Measured Mile Analysis Technique. Journal of Construction Engineering and Management, 131(12), 1249–56.

Irizarry, J, Simonsen, K L and Abraham, D M (2005) Effect of Safety and Environmental Variables on Task Durations in Steel Erection. Journal of Construction Engineering and Management, 131(12), 1310–9.

Lee, E, Harvey, J T and Thomas, D (2005) Integrated Design/Construction/Operations Analysis for Fast-Track Urban Freeway Reconstruction. Journal of Construction Engineering and Management, 131(12), 1283–91.

Nassar, K M, Gunnarsson, H G and Hegab, M Y (2005) Using Weibull Analysis for Evaluation of Cost and Schedule Performance. Journal of Construction Engineering and Management, 131(12), 1257–62.

Navon, R and Berkovich, O (2005) Development and On-Site Evaluation of an Automated Materials Management and Control Model. Journal of Construction Engineering and Management, 131(12), 1328–36.

  • Type: Journal Article
  • Keywords: Automation; Data collection; Feedback control; Control methods; Materials; Monitoring; Site evaluation;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(2005)131:12(1328)
  • Abstract:
    Materials resources constitute a large portion of a project’s total cost and this makes them an important and attractive subject to control. Proper control and management of materials can meaningfully increase productivity by 6%, or more. A model based on automatic, or semiautomatic, data collection for materials management and control was developed. Based on project plans, the model initiates and manages the ordering of materials automatically and monitors both the actual flow of materials and the current stock at the construction site. The model permits real-time control, enabling corrective actions to be taken. In this manner, costs and unnecessary handling of materials are reduced. In addition, up-to-date information regarding materials flow is available and different statistical analyses are enabled: materials acquired from a specific supplier; materials used for a specific activity; and materials used during a specific month, etc. The information generated by the model enables the updating of a historical database to be used for planning of future projects.

Pulaski, M H and Horman, M J (2005) Continuous Value Enhancement Process. Journal of Construction Engineering and Management, 131(12), 1274–82.

Shapira, A and Goldenberg, M (2005) AHP-Based Equipment Selection Model for Construction Projects. Journal of Construction Engineering and Management, 131(12), 1263–73.

Uwakweh, B O (2005) Effect of Foremen on Construction Apprentice. Journal of Construction Engineering and Management, 131(12), 1320–7.