Abstracts – Browse Results

Search or browse again.

Click on the titles below to expand the information about each abstract.
Viewing 8 results ...

Abd El-Razek, M E, Bassioni, H A and Mobarak, A M (2008) Causes of Delay in Building Construction Projects in Egypt. Journal of Construction Engineering and Management, 134(11), 831–41.

Choi, H and Mahadevan, S (2008) Construction Project Risk Assessment Using Existing Database and Project-Specific Information. Journal of Construction Engineering and Management, 134(11), 894–903.

Eom, C S, Yun, S H and Paek, J H (2008) Subcontractor Evaluation and Management Framework for Strategic Partnering. Journal of Construction Engineering and Management, 134(11), 842–51.

Hu, J, Ren, Z and Shen, L (2008) Impacts of Overseas Management Structures on Project Buyout Management: Case Studies of Chinese International Contractors. Journal of Construction Engineering and Management, 134(11), 864–75.

Kang, Y, O’Brien, W J, Thomas, S and Chapman, R E (2008) Impact of Information Technologies on Performance: Cross Study Comparison. Journal of Construction Engineering and Management, 134(11), 852–63.

Kim, J and Ellis, R D (2008) Permutation-Based Elitist Genetic Algorithm for Optimization of Large-Sized Resource-Constrained Project Scheduling. Journal of Construction Engineering and Management, 134(11), 904–13.

Kong, D, Tiong, R L, Cheah, C Y, Permana, A and Ehrlich, M (2008) Assessment of Credit Risk in Project Finance. Journal of Construction Engineering and Management, 134(11), 876–84.

Schatteman, D, Herroelen, W, Van de Vonder, S and Boone, A (2008) Methodology for Integrated Risk Management and Proactive Scheduling of Construction Projects. Journal of Construction Engineering and Management, 134(11), 885–93.

  • Type: Journal Article
  • Keywords: Construction management; Risk management; Resource allocation; Scheduling; Methodology;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(2008)134:11(885)
  • Abstract:
    An integrated methodology is developed for planning construction projects under uncertainty. The methodology relies on a computer supported risk management system that allows for the identification, analysis, and quantification of the major risk factors and the derivation of their probability of occurrence and their impact on the duration of the project activities. Using project management estimates of the marginal cost of activity starting time disruptions, a heuristic procedure is used to develop a stable proactive baseline schedule that is sufficiently protected against the anticipated disruptions that may occur during project execution and that exhibits acceptable makespan performance. We illustrate the application of the methodology on a real life construction project and demonstrate that our proactive scheduler generates baseline schedules that outperform the schedules generated by commercial software packages in terms of robustness and timely project completion probability.