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Çevikbaş, M, Okudan, O and Işık, Z (2022) New Delay-Analysis Method Using Modified Schedule and Modified Updated Schedule for Construction Projects. Journal of Construction Engineering and Management, 148(11).
Asghari, V, Wang, Y, Biglari, A J, Hsu, S and Tang, P (2022) Reinforcement Learning in Construction Engineering and Management: A Review. Journal of Construction Engineering and Management, 148(11).
Fathi, M and Shrestha, P P (2022) Public–Private Partnership Project Performance Analysis Compared to Design-Build in Highway Projects. Journal of Construction Engineering and Management, 148(11).
Feng, H, Song, Q, Yin, C and Cao, D (2022) Adaptive Impedance Control Method for Dynamic Contact Force Tracking of Robotic Excavators. Journal of Construction Engineering and Management, 148(11).
Gibson, G E, Sanboskani, H, El Asmar, M and Aramali, V (2022) Employing Technology to Enable Remote Research Charrettes as a Method for Engaging Industry and Uncovering Best Practices: A Novel Approach for a Post-COVID-19 World. Journal of Construction Engineering and Management, 148(11).
González-Cruz, M, Ballesteros-Pérez, P, Lucko, G and Zhang, J (2022) Critical Duration Index: Anticipating Project Delays from Deterministic Schedule Information. Journal of Construction Engineering and Management, 148(11).
Hajarolasvadi, H and Shahhosseini, V (2022) A System-Dynamic Model for Evaluating the Effect of Person–Team Fit on Project Performance. Journal of Construction Engineering and Management, 148(11).
Hebiba, A M, Bouferguene, A, Moon, S and Han, S (2022) Wind-Wise Automated Stability Analysis for Selection of Tower Crane and Location. Journal of Construction Engineering and Management, 148(11).
Li, L, Luan, H, Yin, X, Dou, Y, Yuan, M and Li, Z (2022) Understanding Sustainability in Off-Site Construction Management: State of the Art and Future Directions. Journal of Construction Engineering and Management, 148(11).
Liu, J, Wang, Y and Wang, Z (2022) Effect of Pressure on Construction Company Compliance Attitudes: Moderating Role of Organizational Ethical Climate. Journal of Construction Engineering and Management, 148(11).
Ma, H, Lv, K, Zeng, S, Lin, H and Shi, J J (2022) Climbing the Pyramid of Megaproject Social Responsibility: Impacts of External Stakeholders and Project Complexity. Journal of Construction Engineering and Management, 148(11).
Moharrami, S, Bayat, A and AbouRizk, S (2022) Modeling Microtunnel Boring Machine Penetration Rate Using a Mechanistic Approach. Journal of Construction Engineering and Management, 148(11).
Sharif, M M, Chuo, S and Haas, C T (2022) Rapid 3D Quality Control in Prefabrication Using a 3D Digital-Templates Framework. Journal of Construction Engineering and Management, 148(11).
- Type: Journal Article
- Keywords: Prefabrication; Three-dimensional (3D) quality control; Three-dimensional (3D) digital templates; Fabrication rework derisking; Scan-vs-3D-model;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0002353
- Abstract:
With increased prefabrication in the construction industry, fabrication workers are tasked to assemble more complicated assemblies with tighter tolerances. However, the existing measurement tools and processes have not changed to accommodate this shift. Lack of advanced measurement tools and existing processes results in increased risk of late detection of geometric errors. To reduce these risks, three-dimensional (3D) quality control systems leveraging scan-vs-BIM methods can be adopted as part of the fabrication process. However, these systems have not been widely adopted yet by fabrication shops, because: (1) fabrication shops often do not have 3D models corresponding to shop drawings; and (2) the cost of integrating accurate 3D scanning equipment into fabrication workflows is assumed to be too high. To remove the first barrier, in this article, a framework for developing 3D digital templates is developed for inspecting received parts. The framework is used for developing a library of 600 3D-models of piping parts. The library is leveraged to deploy a 3D quality control system that was then tested in an industrial scale case study. The results of the case study are used to develop a discrete event simulation model. The simulation results from the model and subsequent cost benefit analysis show that investment in integrating the scan-vs-3D-model quality control systems can have significant cost savings and provide a payback period of less than two years.
Sun, G, Sun, J and Li, F (2022) Influencing Factors of Early Termination for PPP Projects Based on Multicase Grounded Theory. Journal of Construction Engineering and Management, 148(11).
Zuo, F, Zio, E and Yuan, Y (2022) Risk-Response Strategy Optimization Considering Limited Risk-Related Resource Allocation and Scheduling. Journal of Construction Engineering and Management, 148(11).