Abstracts – Browse Results

Search or browse again.

Click on the titles below to expand the information about each abstract.
Viewing 13 results ...

Jannadi, O A and Almishari, S (2003) Risk Assessment in Construction. Journal of Construction Engineering and Management, 129(05), 492–500.

Kim, K and de la Garza, J M (2003) Phantom Float. Journal of Construction Engineering and Management, 129(05), 507–17.

Koehn, E & and Datta, N K (2003) Quality, Environmental, and Health and Safety Management Systems for Construction Engineering. Journal of Construction Engineering and Management, 129(05), 562–9.

Lu, M (2003) Simplified Discrete-Event Simulation Approach for Construction Simulation. Journal of Construction Engineering and Management, 129(05), 537–46.

Lu, M, Anson, M, Tang, S L and Ying, Y C (2003) {[}HKCONSIM{]}: A Practical Simulation Solution to Planning Concrete Plant Operations in Hong Kong. Journal of Construction Engineering and Management, 129(05), 547–54.

Moodi, F and Knapton, J (2003) Research into a Management System for Diagnosis, Maintenance, and Repair of Concrete Structures. Journal of Construction Engineering and Management, 129(05), 555–61.

Nasir, D, McCabe, B and Hartono, L (2003) Evaluating Risk in Construction–Schedule Model (ERIC–S): Construction Schedule Risk Model. Journal of Construction Engineering and Management, 129(05), 518–27.

  • Type: Journal Article
  • Keywords: Construction; Scheduling; Models; Risk analysis; risk management; construction industry; scheduling; decision theory; planning; control engineering;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(2003)129:5(518)
  • Abstract:
    Research was undertaken to develop a method to assist in the determination of the lower and upper activity duration values for schedule risk analysis by program evaluation and review technique analysis or Monte Carlo simulation. A belief network was the modeling environment used for this purpose, and the resulting model was named Evaluating Risk in Construction–Schedule Model. The development of the belief network model consisted of four steps. First, construction schedule risks were identified through a literature review, an expert review, and a group review by a team of experts. Second, cause effect relationships among these risks were identified through an expert survey. This led to the development of the structure of belief network model. Third, probabilities for various combinations of parents for each risk variable were obtained through an expert interview survey and incorporated into the model. Finally, sensitivity analysis was performed. The model was tested using 17 case studies with very good results.

Ogunlana, S O, Li, H and Sukhera, F A (2003) System Dynamics Approach to Exploring Performance Enhancement in a Construction Organization. Journal of Construction Engineering and Management, 129(05), 528–36.

Shen, Q and Liu, G (2003) Critical Success Factors for Value Management Studies in Construction. Journal of Construction Engineering and Management, 129(05), 485–91.

Shohet, I M and Frydman, S (2003) Communication Patterns in Construction at Construction Manager Level. Journal of Construction Engineering and Management, 129(05), 570–7.

Soibelman, L, Liu, L Y, Kirby, J G, East, E W, Caldas, C H and Lin, K (2003) Design Review Checking System with Corporate Lessons Learned. Journal of Construction Engineering and Management, 129(05), 475–84.

Zhang, N and Tiong, R (2003) Integrated Electronic Commerce Model for the Construction Industry. Journal of Construction Engineering and Management, 129(05), 578–85.

Zhong, D H and Zhang, J S (2003) New Method for Calculating Path Float in Program Evaluation and Review Technique (PERT). Journal of Construction Engineering and Management, 129(05), 501–6.