Journal of the Korea Institute of Building Construction (한국건축시공학회지)

The Korean Institute of Building Construction (한국건축시공학회)
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Analysis of the Relations between Design Errors Detected during BIM-based Design Validation and their Impacts Using Logistic Regression

로지스틱 회귀분석을 이용한 BIM 설계 검토에 의하여 발견된 설계 오류와 그 영향도간의 관계 분석

  • Won, Jong-Sung (School of Architecture, Korea National University of Transportation) ;
  • Kim, Jae-Yeo (School of Architecture, Korea National University of Transportation)
  • Received : 2017.07.10
  • Accepted : 2017.10.27
  • Published : 2017.12.20
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Abstract

This paper analyzes the relations between design errors, prevented by building information modeling (BIM)-based design validation, and their impacts in order to identify critical consideration factors for implementing BIM-based design validation in architecture, engineering, and construction (AEC) projects. More than 800 design errors detected by BIM-based design validation in two BIM-based projects in South Korea are categorized according to their causes (illogical error, discrepancy, and missing item) and work types (structure, architecture, and mechanical, electrical, and plumbing (MEP)). The probabilistic relations among the independent variables, including the causes and work types of design errors, and the dependent variables, including the project delays, cost overruns, low quality, and rework generation that can be caused by these errors, are analyzed using logistic regression. The characteristics of each design error are analyzed by means of face-to-face interviews with practitioners. According to the results, the impacts of design error causes in predicting the probability values of project delays, cost overruns, low quality, and rework generation were statistically meaningful.

본 논문은 BIM 기반 설계 검토를 통하여 사전에 방지된 설계 오류와 그 영향도를 통계적으로 분석한다. 이를 위하여 한국에서 수행되었던 2개 BIM 프로젝트에서 BIM 기반 설계 검토를 도입함으로써 발견되었던 약 800여건 이상의 설계오류를 설계 오류 발생 원인별(비논리적 오류, 도면 상이, 누락), 발생 공종별(구조, 건축, 설비)로 분류한다. 시공 이전에 발견된 설계 오류로 인하여 발생할 수 있는 재작업과 공사비, 공사기간, 품질에의 영향 여부를 해당 현장의 실무자와의 인터뷰를 통해서 분류하고, 설계 오류와의 확률적 관계를 로지스틱 회귀분석을 이용하여 분석한다. 분석결과, 설계 오류 발생원인이 공사비 증가, 공기 지연, 품질 저하, 재작업을 유발 확률 예측에 통계적으로 가장 유의미한 관계가 있었다. 두 개의 프로젝트에서 수집된 자료만을 활용하여 설계 오류 간의 관계를 분석하였지만 설계 오류의 특성의 관계가 유사하다는 점에서 의미가 있다고 할 수 있다. 향후에는 다수의 프로젝트에서 수집된 자료를 분석하여 이를 검증하고자 한다.

Keywords

References

  1. Bubshait A, Al-Abdulrazzak A. Design quality management activities. Journal of Professional Issues in Engineering Education and Practice. 1996 Jul;122(3):104-6. https://doi.org/10.1061/(ASCE)1052-3928(1996)122:3(104)
  2. Lopez R, Love P. Design error costs in construction projects. Journal of Construction Engineering and Management. 2012 May;138(5):585-93. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000454
  3. Han S, Love P, Pena-Mora F. A system dynamics model for assessing the impacts of design errors in construction projects. Mathematical and Computer Modelling. 2013 May;57(9-10) :2044-53. https://doi.org/10.1016/j.mcm.2011.06.039
  4. Love PED, Lopez R, Edwards DJ, Goh YM. Error begat error: design error analysis and prevention in social infrastructure projects. Accident Analysis & Prevention. 2012 Sep;48:100-10. https://doi.org/10.1016/j.aap.2011.02.027
  5. Lee Y, Lee T, Kim J, Han C, Kim S. The study of quality control in engineering on the turnkey project-focus on change orders at the construction phase. Korean Journal of Construction Engineering and Management. 2001 Sep;2(3):58-66.
  6. Acharya NK, Lee Y, Kim J. Design errors: Inefficiency or carelessness of designer? Journal of Performance of Constructed Facilities. 2006 May;20(2):192-5. https://doi.org/10.1061/(ASCE)0887-3828(2006)20:2(192)
  7. Peterson F, Hartmann T, Fruchtera R, Fischera M. Teaching construction project management with BIM support: Experience and lessons learned. Automation in Construction. 2011 Mar;20(2):115-25. https://doi.org/10.1016/j.autcon.2010.09.009
  8. Eastman C, Teicholz P, Sacks R, Liston K. BIM Handbook: A Guide to Building Information Modeling for Owners, Managers, Designers, Engineers and Contractors. 2nd ed. NJ: Wiley; 2011. 598 p.
  9. Lee G, Lee J, Jones SA. The Business Value of BIM in South Korea. Bedford (MA): McGraw Hill Construction; 2012.
  10. Lee G, Park KH, Won J. D3 city project - economic impact of BIM-assisted design validation. Automation in Construction. 2012 Mar;22:577-86. https://doi.org/10.1016/j.autcon.2011.12.003
  11. Won J, Cheng JCP, Lee G. Quantification of construction and demolition waste prevented by BIM-based design validation: case studies in South Korea. Waste Management. 2016 Jan;49:170-80. https://doi.org/10.1016/j.wasman.2015.12.026
  12. Anumba C, Dubler C, Goodman S, Kasprzak C, Kreider R, Messner J, Saluja C, Zikic N. The BIM Project Execution Planning Guide and Templates - Version 2.0. University Park (PA): CIC Research Group, Department of Architectural Engineering, The Pennsylvania State University; 2010. p. 1-90.
  13. Won J. Quantification of greenhouse gas emissions prevented through building information modeling (BIM)-based design validation - case studies in South Korea. Journal of Architectural Institute of Korea. 2017 Feb;38(2):71-7.
  14. Lee H, Lim J. SPSS 12.0 Manual. Seoul (Korea): Bobmunsa; 2006. 547 p.
  15. Lee M, Kim J. Exploring the factors affecting K-entertainment tourism by simultaneous logistic equation modeling. Journal of the Korean Contents Association. 2015 Nov;15(11):550-8.
  16. Lopez R, Love PED, Edwards DJ, Davis PR. Design error classification, causation, and prevention in construction engineering. Journal of Performance of Constructed Facilities. 2010 Aug;24(4):399-408. https://doi.org/10.1061/(ASCE)CF.1943-5509.0000116
  17. Park HK. A study on the effect of pre-detecting errors using BIM in the pre-construction phase. [Dissertation]. [Seoul (Korea)]: Yonsei university; 2011. 134 p.
  18. Kim J. The construction plan of design error management system in construction projects. Journal of the Architectural Institute of Korea Planning & Design. 2008 Oct;10(3):231-8.
  19. Kwak C, Kim Y. An analysis for the causes of design quality declining from the perspective of a contractor in the apartment construction projects. Journal of the Architectural Institute of Korea Structure & Construction. 2010 Dec;26(12):193-200.
  20. Giel BK, Issa RR, Olbina S. Return on investment analysis of building information modeling in construction. In: Tizani W, editor. Proceedings of the International Conference on Computing in Civil and Building Engineering; Jun 30 - Jul 2; Nottingham, UK. Nottingham (UK): The University of Nottingham; 2009.
  21. Khanzode A, Fischer M, Reed D. Benefits and lessons learned of implementing building virtual design and construction (VDC) technologies for coordination of mechanical, electrical, and plumbing (MEP) systems on a large healthcare project. ITcon. 2008 Jun;13:324-42.
  22. Manning R, Messner JI. Case studies in BIM implementation for programing of healthcare facilities. ITcon. 2008 Jun;13:246-57.
  23. Ahn Y. Design of rule-based inference engine for the monitoring of harmful environments in workplace. Journal of Korea Society of Industrial Information Systems. 2009 Dec;14(4):65-74.
  24. Kristensen A. BuildingSMART: digital rule checkers. [Master's Thesis]. [Trondheim (Norway)]: Norwegian University of Science and Technology; 2010.
  25. Nawari NO. Automating codes conformance in structural domain. International Workshop on Computing in Civil Engineering; Jun 19-22; Miami, FL. Miami (FL): American Society of Civil Engineers; 2011. p. 569-77.