Rapid 3D quality control in prefabrication using a 3D digital-templates framework

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): 04022117, ISSN 0733-9364

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.

Item Type: Article
Uncontrolled Keywords: fabrication rework derisking; prefabrication; scan-vs-3D-model; three-dimensional digital templates; three-dimensional quality control
Index terms: cost benefit analysis, rework, drawing, payback, workflow, case study, discrete event simulation, 3D model, cost saving, prefabrication, construction industry, quality control, fabrication
Subjects: computational design, data collection methods, data analysis and analytics, project delivery, economic analysis, operations management, modelling and simulation, technical documentation, manufacturing engineering, management, economics, industry analysis, building construction
Topics: Engineering Principles, Project Management, Research Practice, Cost Management, Business Strategy, Construction Technology, Quality Management, Digital Applications, Design Practice
Descriptive scope: 5 PCTEA

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