Journal of the Korean Institute of Educational Facilities (교육시설 논문지)

Korean Institute of Educational Facilities (한국교육시설학회)
권호 표지
DOI QR코드

DOI QR Code

A Probabilistic Analysis on the Repair and Replacement Cost of Educational Facilities

교육시설물의 수선교체비용에 대한 확률론적 분석 연구

  • Yu, Yeong-jin (School of Architectural Engineering, Univ. of Ulsan.) ;
  • Son, Kiyoung (School of Architectural Engineering, Univ. of Ulsan.) ;
  • Kim, Ji-Myong (Dept. of Construction Science, Texas A&M Univ. College station) ;
  • Kim, Taihui (Dept. of Achitectural Engineering, Mokpo National Univ.)
  • Received : 2017.07.27
  • Accepted : 2018.01.23
  • Published : 2018.01.30
Download PDF
⟨ Previous Next ⟩

Abstract

Educational facilities are more uncertain about maintenance costs due to their comprehensive and long life-cycle compared to commercial buildings. In addition, maintenance of the existing post management system can not maintain the original function of education facilities continuously and economically. In order to overcome this problem, it is necessary to analyze the repair and replacement cost for the uncertainty factor in maintenance. This study propose a model to determine repair and maintenance cost and cycle of educational facility based on probabilistic estimation concept. For the analysis, Monte Carlo simulation, a probabilistic analysis method, was applied based on the repair and maintenance history data of the educational facilities in Florida. The results of this study can be used as a guideline for quantitative facility management and facility management research.

Keywords

References

  1. Dilanthi Amaratunga, Assessment of facilities management performance, Property management, 18(4), pp.258-66, 2000 https://doi.org/10.1108/02637470010348816
  2. Kim, Jong-Rok, Jung, Young-Han and Son, Jae-Ho, A study on reliability analysis model of the repair and replacement cycle of a building which utilizes Monte Carlo Simulation, Journal of the Korea institute of building construction, 10(2), pp.41-50, 2010 https://doi.org/10.5345/JKIC.2010.10.2.041
  3. Lee, Seong-Soo, Choi, Hee-Bok, Kang, Kyung-In, A financial feasibility analysis of architectural development projects that use probabilistic simulation analysis method, Korea Journal of Construction, 8(3), pp.15-24, 2010
  4. Robert S. Kaplan and David P. Norton, The balanced score card measures that drive performance. Harvard Business Review. 1(2), pp.171-179, 1992
  5. Herman B. Kok, Mark P. Mobach and Onno S.W.F Omta, The added value of facility management in the educational environment. Journal of Facilities Management, 9(4), pp.249-265, 2011 https://doi.org/10.1108/14725961111170662
  6. Sarel Lavy and David L. Bilbo, Facilities mainatenance management practices in large public schools, Texas. Facilities, 27(1/2), pp.5-20, 2009 https://doi.org/10.1108/02632770910923054
  7. Jolanta Tamosaitiene. Friedel Peldschus and Yaarob Al Ghanem, Assessment of Facility Management Candidates by Applying Game Theory. Procedia Engineering. 57, pp.1145-1150, 2013 https://doi.org/10.1016/j.proeng.2013.04.144
  8. Sarel Lavy, John A. Garcia and Manish K. Dixit, KPIs for facility's performance assessment, Part I: identification and categorization of core indicators. Facilities. 32(5/6), pp.256-74, 2014 https://doi.org/10.1108/F-09-2012-0066
  9. John Woodhouse, Optimal Timing for Replacing Aging or Obsolete Assets. IET Asset Management Conference, 25(5), pp.59-66, 2011
  10. Yu, Yeong-Jin, Son, Kiyoung, Kim, Taehui and Kim, Ji-Myong, A Risk Quantification Study for Accident Cause of Building Construction Site by Applying Probabilistic Forecast Concept. Journal of the Korea Institute of Building Construction, 4(5), pp.45-53, 2017