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Akinci, B, Kiziltas, S, Ergen, E, Karaesmen, I Z and Keceli, F (2006) Modeling and Analyzing the Impact of Technology on Data Capture and Transfer Processes at Construction Sites: A Case Study. Journal of Construction Engineering and Management, 132(11), 1148–57.

Bai, Y and Burkett, W R (2006) Rapid Bridge Replacement: Processes, Techniques, and Needs for Improvements. Journal of Construction Engineering and Management, 132(11), 1139–47.

Col Debella, D and Ries, R (2006) Construction Delivery Systems: A Comparative Analysis of Their Performance within School Districts. Journal of Construction Engineering and Management, 132(11), 1131–8.

Gao, Z, Walters, R C, Jaselskis, E J and Wipf, T J (2006) Approaches to Improving the Quality of Construction Drawings from Owner’s Perspective. Journal of Construction Engineering and Management, 132(11), 1187–92.

Li, J, Moselhi, O and Alkass, S (2006) Forecasting Project Status by Using Fuzzy Logic. Journal of Construction Engineering and Management, 132(11), 1193–202.

  • Type: Journal Article
  • Keywords: Project management; Forecasting; Fuzzy sets; Costs;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(2006)132:11(1193)
  • Abstract:
    This paper describes a forecasting method for predicting potential cost overruns and schedule delays on construction projects. The output of the forecasting method is useful in evaluating the project status at different time horizons and in quantifying the impact of the performance indicators on the profitability of the job. The method is intended for use by members of project teams in performing integrated time and cost control of construction projects. The paper addresses the effects of a number of factors, referred to in the developed method as indicators, on project cost overruns and schedule delays using fuzzy logic. The proposed forecasting method has been implemented in a prototype that operates in the World Wide Web environment. It has an open architecture that allows users to actively interact and, accordingly, makes use of their own experience and knowledge in the forecasting process. An example project is analyzed to test the developed prototype, demonstrate the use of the proposed method, and to illustrate its capabilities.

Lu, M, Poon, C and Wong, L (2006) Application Framework for Mapping and Simulation of Waste Handling Processes in Construction. Journal of Construction Engineering and Management, 132(11), 1212–21.

Srour, I M, Haas, C T and Morton, D P (2006) Linear Programming Approach to Optimize Strategic Investment in the Construction Workforce. Journal of Construction Engineering and Management, 132(11), 1158–66.

Telem, D, Laufer, A and Shapira, A (2006) Only Dynamics Can Absorb Dynamics. Journal of Construction Engineering and Management, 132(11), 1167–77.

Yu, A T W, Shen, Q, Kelly, J and Hunter, K (2006) Investigation of Critical Success Factors in Construction Project Briefing by Way of Content Analysis. Journal of Construction Engineering and Management, 132(11), 1178–86.

Zhang, X (2006) Markov-Based Optimization Model for Building Facilities Management. Journal of Construction Engineering and Management, 132(11), 1203–11.