Korean Journal of Construction Engineering and Management (한국건설관리학회논문집)

Korea Institute of Construction Engineering and Management (한국건설관리학회)
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A Study on Productivity Analysis of Quality Management System in Construction Site

건설현장 품질관리 자동화 시스템의 생산성 분석에 관한 연구

  • Choi, Yeongjun (CJ Logistics E&C) ;
  • Oh, Hyunchul (Daewoo Institute of Construction Technology) ;
  • Baek, Kihyun (Daewoo Institute of Construction Technology) ;
  • Kim, Seok (Department of Railroad Infrastructure System Engineering, Korea National University of Transportation)
  • 최영준 (CJ대한통운 건설부문) ;
  • 오현철 (대우건설기술연구원) ;
  • 백기현 (대우건설기술연구원) ;
  • 김석 (한국교통대학교 철도인프라시스템공학과)
  • Received : 2023.09.12
  • Accepted : 2023.12.27
  • Published : 2024.05.31
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Abstract

Quality management work at construction sites demands substantial time and effort, involving the preparation of documents in Excel, approval processes, and the execution of quality tests. These Excel-based tasks include printing quality test reports, performing quality tests, generating and approving test reports, and preparing management ledgers. This division of processes extends the duration of work and diminishes efficiency. Accordingly, a cloud-based construction site quality management system was developed to enhance the productivity of quality management work. The purpose of this study is to analyze the productivity of the construction site quality management system, which is in the early stages of implementation at construction sites. This study implemented the construction site quality management system at a road construction site and scrutinized subsequent alterations in the quality management workflow before and after the implementation. Additionally, a survey was conducted among quality control engineers to collect data on work time both before and after the introduction of the construction site quality management system. Based on the collected data, the Monte-Carlo simulation method was applied to analyze the productivity improvement effect of the construction site quality management system, and the results were presented. The results of this study can serve as foundational data for future research endeavors focused on the automation of quality management works.

엑셀 기반의 서류 작성, 결재, 품질 시험을 수행하는 건설현장의 품질관리업무는 많은 시간과 노력이 소요된다. 엑셀 기반의 업무는 품질시험성적서 양식 인쇄, 품질시험 수행, 시험성적서 작성 및 결재, 관리대장 작성으로 구성된다. 이렇듯 분리된 품질관리 프로세스는 업무 소요시간과 효율성을 저하시킨다. 따라서, 품질관리업무의 생산성을 향상시키기 위해 클라우드 기반의 건설현장 품질관리 시스템이 개발되었다. 본 연구의 목적은 건설현장 도입 초기 단계인 품질관리시스템의 생산성을 분석하는 것이다. 본 연구는 건설현장 품질관리시스템을 도로 건설현장에 도입하고, 도입 전·후의 품질관리업무 프로세스 변화를 면밀히 분석했다. 또한 품질관리자들에게 설문조사를 실시하여 품질관리시스템 도입 전·후의 업무 시간 데이터를 수집했다. 수집한 데이터에 몬테카를로 시뮬레이션 방법론을 적용하여 건설현장 품질관리시스템의 생산성 향상 효과를 분석하고 결과를 제시하였다. 본 연구의 결과는 품질관리 업무 자동화를 위한 후속 연구들의 기초자료로 활용할 수 있을 것이다.

Keywords

Acknowledgement

본 연구는 국가연구개발사업인 "스마트 건설기술 연구사업(RS-2020-KA157130)"의 지원으로 수행되었다.

References

  1. Back, W.E., Boles, W.W., and Fry, G.T. (2000). "Defining triangular probability distributions from historical cost data." Journal of Construction Engineering and Management, 126(1), pp. 29-37. https://doi.org/10.1061/(ASCE)0733-9364(2000)126:1(29)
  2. Baik, I.W. (2008). "A Case Study on the Quality Management of Construction Site through PDCA Cycle." Journal of the Korea Institute of Building Construction, 8(1), pp. 49-56. https://doi.org/10.5345/JKIC.2008.8.1.049
  3. Hong, Y.T., Lee, H.S., Chae, Y.T., and Lee, H.S. (2004). "Quality Control Based on Customer Need in Construction Phase." Journal of the Architectural Institute of Korea Structure & Construction, JAIK, 20(10), pp. 175-182.
  4. Hossain, M.A., Abbott, E.L., Chua, D.K., Nguyen, T.Q., and Goh, Y.M. (2018). "Design-for-safety knowledge library for BIM-integrated safety risk reviews." Automation in Construction, 94, pp. 290-302. https://doi.org/10.1016/j.autcon.2018.07.010
  5. Huh, Y.K., Lee, J.Y., Yun, S.H., Tae, Y.H., and Ahn, B.R. (2009). "Productivity Measurement and Analysis on Factors in Steel Erection." Journal of the Korea Institute of Building Construction, 9(2), pp. 31-38. https://doi.org/10.5345/JKIC.2009.9.2.031
  6. Kim, S.B., and Lee, J.D. (2008). "A Study on the Development Strategies of Construction Productivity Analysis System based on Web & OLAP." Journal of the Architectural Institute of Korea Structure & Construction, JAIK, 24(5), pp. 173-184.
  7. Kim, S.H., and Im, C.S. (2007). "A Study on the Quality Control Effectiveness in the High-rise residentialcommercial Complex Building Project." Journal of the Korean Association for Spatial Structures, 7(4), pp. 79-87.
  8. Kroese, D.P., Brereton, T., Taimre, T., and Botev, Z.I. (2014). "Why the Monte Carlo method is so important today." Wiley Interdisciplinary Reviews: Computational Statistics, 6(6), pp. 386-392. https://doi.org/10.1002/wics.1314
  9. Lee, H.M., Lee, D.H., ZHENG, Q., and Kim, S.K. (2010). "A Productivity Analysis for Management Manpower of Building Construction Projects." KIEAE Journal, 10(1), pp. 45-55.
  10. Luo, H., Lin, L., Chen, K., Antwi-Afari, M.F., and Chen, L. (2022). "Digital technology for quality management in construction: A review and future research directions." Developments in the Built Environment, 12, 100087.
  11. Ministry of Land, Infrastructure and Transport (MOLIT) (2022b). Construction technology promotion act.
  12. Ministry of Land, Infrastructure and Transport (MOLIT) (2022a). Enforcement rule of the construction technology promotion act.
  13. Park, H.S. (2006). "Conceptual Framework of Construction Productivity Estimation." KSCE Journal of Civil Engineering, 10(5), pp. 311-317. https://doi.org/10.1007/BF02830084
  14. Park, M.S., and Kim, S. (2019). "Productivity Analysis of the Site Installation Stage of Laminated Modular MultiFamily Housing." Journal of The Korean Society of Industry Convergence, 22(5), pp. 519-527. https://doi.org/10.21289/KSIC.2019.22.5.519
  15. Rubinstein, R.Y., and Kroese, D.P., (2016). "Simulation and the Monte Carlo method." John Wiley & Sons.
  16. Shin, H.J., and Cha, H.S. (2023). "Proposing a Quality Inspection Process Model Using Advanced Technologies for the Transition to Smart Building Construction." Sustainability, 15(1), p. 815.
  17. Son, J.W., Yoon, J.S., and Paek, J.H. (2003). "A Study on Construction Productivity Measurement Method." Journal of the Architectural Institute of Korea Structure & Construction, JAIK, 19(10), pp. 101-108.
  18. Song, C,Y., Lee, H.C., Park, S.H., Cho, K.M., and Hyun, C.T. (2010). "Productivity Analysis of Structural Work for Apartment Building Using AL-Form." Journal of the Architectural Institute of Korea Structure & Construction, JAIK, 26(4), pp. 113-121.
  19. Wei, W., Ding, L., Luo, H., Li, C., and Li, G. (2021). "Automated bughole detection and quality performance assessment of concrete using image processing and deep convolutional neural networks." Construction and Building Materials, 281, 122576.