Korean Journal of Construction Engineering and Management (한국건설관리학회논문집)

Korea Institute of Construction Engineering and Management (한국건설관리학회)
권호 표지
DOI QR코드

DOI QR Code

Development of Optimal Facility Management (FM) Process Using Spatial-data-based Mean Time Between Failure (MTBF) Analysis

공간정보 기반 MTBF 분석을 활용한 최적의 FM 프로세스 개발

  • Yoon, Jonghan (Department of Architectural Engineering, Ajou University) ;
  • Cha, Heesung (Department of Architectural Engineering, Ajou University)
  • Received : 2017.09.18
  • Accepted : 2018.02.19
  • Published : 2018.05.31
Download PDF
⟨ Previous Next ⟩

Abstract

Facility Management (FM) phase in building lifecycle management is the most crucial phase concerning building value and life cycle cost management. Nevertheless, systematic and rational FM process is not yet constructed, leading to failure of facility value and cost management from accurate and proactive FM. This is because there has been minimal approach regarding construction of optimal FM process based on rational FM data analysis. The purpose of this study is to provide optimal FM process with quantitative FM data analysis method using spatial data. This study investigated existing FM data structure and derive the limitation of it from both expert interview and practical FM material analysis. As a solution for this limitation, this study provided optimal FM process with MTBF (Mean Time Between Failure), which is quantitative FM data analysis method. The effect of the provided process was validated with a case study. It is expected that this process allows rational and objective FM data analysis, resulting in accurate and proactive FM. And it is expected that it can be used as a useful basic data for developing an effective system for the FM process.

건축물생애주기 중 유지관리단계는 비용적인 측면에서 그리고 건축물 가치 관리적인 측면에서 매우 중요한 단계이다. 그럼에도 불구하고, 아직 체계적이고 합리적인 유지관리 프로세스가 마련되어있지 않아 정확하고 선제적인 유지관리를 통한 건축물 가치상승 및 생애주기비용 관리를 적절하게 하지 못 하는 경우가 많다. 이러한 주된 원인은 유지관리 데이터에 대한 객관적인 분석을 토대로 한 프로세스를 구축하려는 노력이 미흡한 결과이다. 본 연구의 목적은 최적의 유지관리 프로세스를 개발하기 위한 기초연구로써 합리적인 유지관리 데이터 분석을 위한 데이터 체계를 구축하고, 이를 바탕으로 정량적 데이터분석에 기반 한 유지관리 프로세스를 제안하는데 있다. 본 연구는 유지관리 전문가 면담 및 관련 실무자료 분석을 통해 기존의 데이터체계를 검토하고, 그 한계점을 도출하였고 그에 대한 해답으로써 유지관리 분야의 정량적인 데이터 분석도구인 MTBF (Mean Time Between Failure)를 활용한 공간정보 기반 유지관리 데이터분석 방법을 제시하였다. 결과적으로 이러한 분석방법을 활용한 최적의 유지관리 프로세스를 제안하고 실제 유지관리 데이터에 이를 대입하여 그 효과성을 검증하였다. 체계적인 유지관리 실행을 위한 프레임으로써 활용이 될 경우 객관적이고 합리적인 유지관리 의사결정에 도움이 될 수 있을 것으로 판단되며, 이를 바탕으로 한 시스템 개발 시 유용한 기초자료로 이용될 수 있을 것으로 기대된다.

Keywords

References

  1. Akcamete, A., Akinci, B., and Garrett, J. (2010). "Potential utilization of building information models for planning maintenance activities." Proceedings of the international conference on computing in civil and building engineering.
  2. Becerik-Gerber, B., Jazizadeh, F., Li, N., and Calis, G. (2011). "Application areas and data requirements for BIM-enabled facilities management." Journal of construction engineering and management, 138(3), pp. 431-442. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000433
  3. Chotipanich, S., and Lertariyanun, V. (2011). "A study of facility management strategy: the case of commercial banks in Thailand." Journal of Facilities Management, 9(4), pp. 282-299. https://doi.org/10.1108/14725961111170680
  4. Eweda, A., Zayed, T., and Alkass, S. (2013). "Space- Based Condition Assessment Model for Buildings: Case Study of Educational Buildings." Journal of Performance of Constructed Facilities, 29(1), 04014032. https://doi.org/10.1061/(ASCE)CF.1943-5509.0000481
  5. Grussing, M. N., and Liu, L. Y. (2013). "Knowledge- based optimization of building maintenance, repair, and renovation activities to improve facility life cycle investments." Journal of Performance of Constructed Facilities, 28(3), pp. 539-548. https://doi.org/10.1061/(ASCE)CF.1943-5509.0000449
  6. Levitt, J. (2013). Facilities Management: Managing Maintenance for Buildings and Facilities, Momentum Press, New York.
  7. Kincaid, D. (1994). "Integrated facility management." Facilities, 12(8), pp. 20-23. https://doi.org/10.1108/02632779410062353
  8. Lai, J. H. (2014). "Maintenance Performance: Examination of the Computer-Aided Maintenance Data of a Large Commercial Building." Journal of Performance of Constructed Facilities, 29(4), 04014118. https://doi.org/10.1061/(ASCE)CF.1943-5509.0000619
  9. Liu, L. Y., Stumpf, A. L., Kim, S. S., and Zbinden, F. M. (1994). "Capturing as-built project information for facility management." Computing in Civil Engineering, pp. 614-621.
  10. Oti, A. H., Kurul, E., Cheung, F., and Tah, J. H. M. (2016). "A framework for the utilization of Building Management System data in building information models for building design and operation." Automation in Construction, 72, pp. 195-210. https://doi.org/10.1016/j.autcon.2016.08.043
  11. Park, J., Kim, B., Kim, C., and Kim, H. (2011). "3D/4D CAD applicability for life-cycle facility management." Journal of computing in civil engineering, 25(2), pp. 129-138. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000067
  12. Roper, O. K., and Payant, P. R. (2014). The facility management handbook 4th Edition, AMACOM (Division of American Management Association), New York.
  13. Sabol, L. (2008). "Building information modeling & facility management." IFMA World Workplace, pp. 2-13.
  14. Shalabi, F., and Turkan, Y. (2016). "IFC BIM-Based Facility Management Approach to Optimize Data Collection for Corrective Maintenance." Journal of Performance of Constructed Facilities, 31(1), 04016081.
  15. Smith, R., and Mobley, R. K. (2011). Rules of thumb for maintenance and reliability engineers. Butterworth- Heinemann, UK.
  16. Teicholz, E. (2001). Facility design and management handbook. McGraw Hill Professional, New York.
  17. William East, E., Nisbet, N., and Liebich, T. (2012). "Facility management handover model view." Journal of computing in civil engineering, 27(1), pp. 61-67. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000196
  18. Yoon, J. H., and Cha, H. S. (2017). "Location-based Facility Management System Framework Using 3D-BIM on Commercial Office Buildings." In ISARC. Proceedings of the International Symposium on Automation and Robotics in Construction, 34.
  19. Zhao, H. X., and Magoules, F. (2012). "A review on the prediction of building energy consumption." Renewable and Sustainable Energy Reviews, 16(6), pp. 3586-3592. https://doi.org/10.1016/j.rser.2012.02.049
  20. Kim, S., and Shim, W. (2012). "Study on the utilization ways and planning characteristics common spaces in commercial multi-complexes in korea." Journal of Architectural Institude of Korea, 28(5), pp. 13-22.