Abstracts – Browse Results

Search or browse again.

Click on the titles below to expand the information about each abstract.
Viewing 10 results ...

Bohn, J S and Teizer, J (2010) Benefits and Barriers of Construction Project Monitoring Using High-Resolution Automated Cameras. Journal of Construction Engineering and Management, 136(06), 632–40.

Chua, D K H, Yeoh, K W and Song, Y (2010) Quantification of Spatial Temporal Congestion in Four-Dimensional Computer-Aided Design. Journal of Construction Engineering and Management, 136(06), 641–9.

Geem, Z W (2010) Multiobjective Optimization of Time-Cost Trade-Off Using Harmony Search. Journal of Construction Engineering and Management, 136(06), 711–6.

Love, P E D, Edwards, D J and Irani, Z (2010) Work Stress, Support, and Mental Health in Construction. Journal of Construction Engineering and Management, 136(06), 650–8.

Marzouk, M, Abdallah, M and El-Said, M (2010) Modeling Microtunneling Projects using Computer Simulation. Journal of Construction Engineering and Management, 136(06), 670–82.

Park, M, Lee, M, Lee, H and Hwang, S (2010) Boost, Control, or Both of Korean Housing Market: 831 Countermeasures. Journal of Construction Engineering and Management, 136(06), 693–701.

Sacks, R and Partouche, R (2010) Empire State Building Project: Archetype of “Mass Construction”. Journal of Construction Engineering and Management, 136(06), 702–10.

Sarkar, D and Dutta, G (2010) Design and Application of Risk Adjusted Cumulative Sum for Strength Monitoring of Ready Mixed Concrete. Journal of Construction Engineering and Management, 136(06), 623–31.

Sugimoto, M and Asanprakit, A (2010) Stack Pipe Model for Pipe Jacking Method. Journal of Construction Engineering and Management, 136(06), 683–92.

Zhao, Z Y, Lv, Q L, Zuo, J and Zillante, G (2010) Prediction System for Change Management in Construction Project. Journal of Construction Engineering and Management, 136(06), 659–69.

  • Type: Journal Article
  • Keywords: Construction management; Project management; Change management; Predictions; Information management; Construction project management; Change management; Prediction; Information flow; Dependency structure matrix;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000168
  • Abstract:
    Changes are the main causes of delays and cost overruns in construction projects. Various change management systems have been developed to minimize the impacts of changes and to facilitate good project management. This paper presents a change prediction system using activity-based dependency structure matrix (DSM) to facilitate change management. DSM is used to model the process that may occur as a result of changes. Consequently changes can be predicted by setting the change criteria for each activity in the form of rework scope. Furthermore, Monte Carlo simulation is introduced to analyze the change probability of activities involved in construction projects. The effectiveness of the prediction system is verified by applying this system to an office building project. This study provides a useful tool for project management teams to manage changes proactively and efficiently.