Abstract:The lack of scientific decision-making methods for building maintenance leads to long-term high maintenance costs. This study introduces the reliability centered maintenance (RCM) method to improve building maintenance decision-making. The building facility system is first analyzed to identify key facilities. Then, the failure risk of the key building facilities is evaluated in terms of the failure rate, failure detectability and failure consequences. A quantitative maintenance decision-making model is then developed for the key building facilities and is solved using Monte Carlo simulations. Finally, a building air-conditioning system air duct is used as an example to verify the model effectiveness. The results show that this model reduces maintenance costs by about 18.5% compared with the current maintenance strategy.
马智亮, 向星磊, 任远. 基于RCM方法的建筑设备维护策略定量化决策模型[J]. 清华大学学报(自然科学版), 2020, 60(4): 348-356.
MA Zhiliang, XIANG Xinglei, REN Yuan. Quantitative decision-making model for building facility maintenance strategies based on the RCM method. Journal of Tsinghua University(Science and Technology), 2020, 60(4): 348-356.
[1] SEELEY I H. Building maintenance[M]. 2nd ed. London, UK:Macmillan Education, 1987. [2] LAVY S, JAWADEKAR S. A case study of using BIM and COBie for facility management[J]. International Journal of Facility Management, 2014, 5(2):1-16. [3] HORNER R M W, EL-HARAM M A, MUNNS A K. Building maintenance strategy:A new management approach[J]. Journal of Quality in Maintenance Engineering, 1997, 3(4):273-280. [4] LIU R, ISSA R R A. Survey:Common knowledge in BIM for facility maintenance[J]. Journal of Performance of Constructed Facilities, 2015, 30(3):04015033. [5] AL-NAJJAR B, INGWALD A, KANS M. Maintenance in real estate and manufacturing industries:Differences, problems, needs and potentials:Four case studies[C]//Proceedings of the 10th World Congress on Engineering Asset Management. Berlin, Germany:Springer, 2016:13-27. [6] 左洪福, 蔡景, 王华伟. 维修决策理论与方法[M]. 北京:航空工业出版社, 2008. ZUO H F, CAI J, WANG H W. Maintenance decision theory and method[M]. Beijing:Aviation Industry Press, 2008. (in Chinese) [7] DING S H, KAMARUDDIN S. Maintenance policy optimization:Literature review and directions[J]. The International Journal of Advanced Manufacturing Technology, 2015, 76(5-8):1263-1283. [8] 贾希胜. 以可靠度为中心的维修决策模型[M]. 北京:国防工业出版社, 2007. JIA X S. The decision models for reliability centered maintenance[M]. Beijing:National Defense Industry Press, 2007. (in Chinese) [9] 贾希胜, 甘茂治, 程中华. 以可靠性为中心的维修[J]. 工程机械与维修, 2002(11):116-117. JIA X S, GAN M Z, CHENG Z H. Reliability centered maintenance[J]. Construction Machinery & Maintenance, 2002(11):116-117. (in Chinese) [10] SULLIVAN G, PUGH R, MELENDEZ A P, et al. Operations and maintenance best practices:A guide to achieving operational efficiency[R]. Richland, USA:Pacific Northwest National Laboratory (PNNL), 2002. [11] 何厚全. RCM在住宅维修中的应用研究[D]. 南京:东南大学, 2005. HE H Q. The study on the use of reliability centered maintenance in housing maintenance[D]. Nanjing:Southeast University, 2005. (in Chinese) [12] SALAH M, OSMAN H. Performance-based reliability-centered maintenance planning for hospital facilities[J]. Journal of Performance of Constructed Facilities, 2018, 32(1):04017113. [13] 刘薇, 张喜明, 孙萍. 物业设施设备管理与维修[M]. 2版. 北京:清华大学出版社, 2010. LIU W, ZHANG X M, SUN P. Maintenance and management of property facilities and equipment[M]. 2nd ed. Beijing:Tsinghua University Press, 2010. (in Chinese) [14] BABAK A, LUIS R. MEHDI H. Estimating parameters of the three-parameter Weibull distribution using a neural network[J]. European Journal of Industry Engineer, 2008, 2(4):428-445. [15] DRAGAN J, DARJIA M. On nonlinear weighted errors-in-variables parameter estimation problem in the three-parameter Weibull model[J]. Applied Mathematics and Computation, 2010, 215(10):3599-3609. [16] LIU H C, LIU L. Risk evaluation approaches in failure mode and effects analysis:A literature review[J]. Expert Systems with Applications, 2013, 40(2):828-838.