Abstracts – Browse Results
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Arabi, S, Eshtehardian, E and Shafiei, I (2022) Using Bayesian Networks for Selecting Risk-Response Strategies in Construction Projects. Journal of Construction Engineering and Management, 148(08).
Chang, T, Chi, S and Im, S (2022) Understanding User Experience and Satisfaction with Urban Infrastructure through Text Mining of Civil Complaint Data. Journal of Construction Engineering and Management, 148(08).
Dias Barkokebas, R, Al-Hussein, M and Li, X (2022) VR–MOCAP-Enabled Ergonomic Risk Assessment of Workstation Prototypes in Offsite Construction. Journal of Construction Engineering and Management, 148(08).
Ezzeddine, A, Shehab, L, Lucko, G and Hamzeh, F (2022) Forecasting Construction Project Performance with Momentum Using Singularity Functions in LPS. Journal of Construction Engineering and Management, 148(08).
Feng, K, Wang, S, Lu, W, Liu, C and Wang, Y (2022) Planning Construction Projects in Deep Uncertainty: A Data-Driven Uncertainty Analysis Approach. Journal of Construction Engineering and Management, 148(08).
Gomes Araújo, L and Lucko, G (2022) Best Practices for Case Studies in Construction Engineering and Management Research. Journal of Construction Engineering and Management, 148(08).
Heaton, R, Martin, H, Chadee, A, Milling, A, Dunne, S and Borthwick, F (2022) The Construction Materials Conundrum: Practical Solutions to Address Integrated Supply Chain Complexities. Journal of Construction Engineering and Management, 148(08).
Islam, M S, Mohandes, S R, Mahdiyar, A, Fallahpour, A and Olanipekun, A O (2022) A Coupled Genetic Programming Monte Carlo Simulation–Based Model for Cost Overrun Prediction of Thermal Power Plant Projects. Journal of Construction Engineering and Management, 148(08).
- Type: Journal Article
- Keywords: Cost overruns; Machine learning; Infrastructure; Thermal power plant; Monte Carlo simulation (MCS);
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0002327
- Abstract:
Globally, power projects are prone to cost overrun projects. Within the body of knowledge, previous studies have paid less attention to predicting the cost overruns to assist contingency cost planning. Particularly, in thermal power plant projects (TPPPs), the enormous risks involved in their delivery undermine the accuracy of cost overrun prediction. To prevent cost overrun in thermal power plant projects, these risks need to be accounted for by employing sophisticated cost overrun prediction techniques. This study aims to develop a hybrid predictive-probabilistic-based model (HPPM) that integrates a genetic programming technique with Monte Carlo simulation (MCS). The HPPM was proposed based on the data collected from TPPPs in Bangladesh. Also, the sensitivity of the HPPM was examined to identify the critical risks in cost overruns simulation. The simulation outcomes show that 40.48% of a project’s initial estimated budget was the most probable to cost overrun, while the maximum cost overrun will not exceed 75% with 90% confidence. Practically, the analysis will sensitize project managers to emphasize thermal plants’ budget accuracy not only at the initial project delivery phase but throughout the project life cycle. Theoretically, the HPPM could be employed for cost overrun prediction in other types of power plant projects.
Koo, H J and O’Connor, J T (2022) A Strategy for Building Design Quality Improvement through BIM Capability Analysis. Journal of Construction Engineering and Management, 148(08).
Le, C, Jeong, H D, Damnjanovic, I and Bukkapatnam, S (2022) Pareto Principle in Scoping-Phase Cost Estimating: A Multiobjective Optimization Approach for Selecting and Applying Optimal Major Work Items. Journal of Construction Engineering and Management, 148(08).
Lee, C, Chong, H, Tanko, B L and Klufallah, M (2022) Effect between Trust in Communication Technology and Interorganizational Trust in BIM-Enabled Projects. Journal of Construction Engineering and Management, 148(08).
Lee, G H, Kim, J I, Koo, C and Kim, T W (2022) Automated Generation of Precast Concrete Slab Stacks for Transportation in Offsite Construction Projects. Journal of Construction Engineering and Management, 148(08).
Liu, Y, Yao, F, Ji, Y, Tong, W, Liu, G, Li, H X and Hu, X (2022) Quality Control for Offsite Construction: Review and Future Directions. Journal of Construction Engineering and Management, 148(08).
Mmereki, D and Brouwer, D (2022) Application of Innovative Materials and Methods in Green Buildings and Associated Occupational Exposure and Health of Construction Workers: A Systematic Literature Review. Journal of Construction Engineering and Management, 148(08).
Simmons, D R, Polmear, M, Bae, H and McCall, C (2022) Applying a New Lens: Using Photo Elicitation in Construction Engineering Management Research. Journal of Construction Engineering and Management, 148(08).
Son, J, O’Brien, W J and Thomas, S R (2022) Recommended Practices for Effective Management of Academia–Industry Collaborative Research Teams in Construction Management. Journal of Construction Engineering and Management, 148(08).
Wang, Y, Thangasamy, V K, Tiong, R L K and Zhang, L (2022) Improved Workflow for Precast Element Design Based on BIM and Lean Construction. Journal of Construction Engineering and Management, 148(08).
Xia, P, Xu, F, Zhou, T and Du, J (2022) Benchmarking Human versus Robot Performance in Emergency Structural Inspection. Journal of Construction Engineering and Management, 148(08).
Zarghami, S A (2022) Prioritizing Construction Activities: Addressing the Flaws of Schedule-Based Indexes. Journal of Construction Engineering and Management, 148(08).