International conference on construction engineering and project management (국제학술발표논문집)

  • 2024.07a
  • /
  • Pages.1168-1176
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  • 2024
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  • 2508-9048(eISSN)
Korea Institute of Construction Engineering and Management (한국건설관리학회)
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Business Model Development for Automatic Quality Inspection System of Temporary Structure Elements

  • Go-eun CHOI (Department of Global Smart City Researcher, University of Sungkyunkwan) ;
  • Seo-joon LEE (Department of Global Smart City Researcher, University of Sungkyunkwan) ;
  • Kyu-hyup LEE (Convergence Engineering for Future City Researcher, University of Sungkyunkwan) ;
  • Jun-sung SEOL (School of Civil, Architectural Engineering and Landscape Architecture, University of Sungkyunkwan) ;
  • Soonwook KWON (School of Civil, Architectural Engineering and Landscape Architecture, University of Sungkyunkwan)
  • Published : 2024.07.29
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Abstract

For reusable Temporary Structure Elements such as scaffolding and temporary supports, quality control tasks are currently carried out through visual inspections by quality management workers and subjective judgments. Regarding quality tests based on the KOSHA(Korea Occupational Safety & Health Agency) system, only three pieces are sampled regardless of the quantity received at the site. On the other hand, although there is ongoing technological research on an automatic quality inspection of temporary structure elements, relevant stakeholders' introduction of such systems is hindered by issues such as cost. Therefore, this study aims to review a business model for introducing a quantitative and automated quality inspection system for reusable temporary structure elements. The study intends to propose application methods for each component according to a template and establish the business model by conducting interviews and collecting basic data for each template component. The results of this research are expected to serve as a foundation for implementation and expanding the adoption of quality management for temporary structure elements using smart technologies in the future.

Keywords

Acknowledgement

This work was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIT)(RS-2023-00277939). This work is financially supported by Korea Ministry of Land, Infrastructure and Transport(MOLIT) as Innovative Talent Education Program for Smart City.

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