Multiyear Facility Maintenance Optimization
Publication: Journal of Performance of Constructed Facilities
Volume 38, Issue 2
Abstract
Facility maintenance decisions are essential to ensuring infrastructure can continue to meet mission objectives. To keep facilities and equipment operational during budget shortfalls, sometimes myopic maintenance strategies are used due to their immediate benefits despite their longer-term suboptimal effects on facility health. This effect is even more pronounced when making maintenance plans across multiyear horizons. Often, these multiyear effects require nonlinear modeling to capture their complex interactions. This paper explains how to frame such a scenario as a linear programming problem by utilizing a degradation model and a predefined set of maintenance actions, like repairing, replacing, or performing no maintenance on a component. Translating to a linear program has many benefits, like guaranteed optimality and shorter computation times. Case studies show how this approach improves outcomes across different scopes, ranging from a single facility to a portfolio of facilities. The results show significantly better utilization of resources in terms of the resulting Building Condition Index for the same budget.
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Data Availability Statement
Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.
References
Ahmed, R., T. Zayed, and F. Nasiri. 2020. “A hybrid genetic algorithm-based fuzzy Markovian model for the deterioration modeling of healthcare facilities.” Algorithms 13 (9): 210. https://doi.org/10.3390/a13090210.
Alaswad, S., and Y. Xiang. 2017. “A review on condition-based maintenance optimization models for stochastically deteriorating system.” Reliab. Eng. Syst. Saf. 157 (Jan): 54–63. https://doi.org/10.1016/j.ress.2016.08.009.
Alley, S. L., V. V. Valencia, A. E. Thal Jr., and E. D. White III. 2017. “Probabilistic assessment of failure for United States air force building systems.” J. Perform. Constr. Facil. 31 (5): 04017088. https://doi.org/10.1061/(ASCE)CF.1943-5509.0001077.
Besiktepe, D., M. E. Ozbek, and R. A. Atadero. 2020. “Identification of the criteria for building maintenance decisions in facility management: First step to developing a multi-criteria decision-making approach.” Buildings 10 (9): 166. https://doi.org/10.3390/buildings10090166.
Betz, T., K. El-Rayes, M. Grussing, K. Landers, and L. Bartels. 2023. “Parametric estimation of equipment failure risk with machine learning and constrained optimization.” J. Perform. Constr. Facil. 37 (1): 04022073. https://doi.org/10.1061/JPCFEV.CFENG-4284.
Bureau of Reclamation. 2011. Interim dam safety public protection guidelines, a risk framework to support dam safety decision making. Denver: US Dept. of the Interior, Bureau of Reclamation, Dam Safety Office.
Campos, J. 2009. “Development in the application of ICT in condition monitoring and maintenance.” Comput. Ind. 60 (1): 1–20. https://doi.org/10.1016/j.compind.2008.09.007.
Chughtai, F., and T. Zayed. 2008. “Infrastructure condition prediction models for sustainable sewer pipelines.” J. Perform. Constr. Facil. 22 (5): 333–341. https://doi.org/10.1061/(ASCE)0887-3828(2008)22:5(333).
Corotis, R. B., A. B. Liel, Y. C. Lin, and A. Paul. 2014. Development of risk-based decision methodology for facility design. Denver: Colorado DOT.
D’Ambrosio, C., A. Lodi, and S. Martello. 2010. “Piecewise linear approximation of functions of two variables in MILP models.” Oper. Res. Lett. 38 (1): 39–46. https://doi.org/10.1016/j.orl.2009.09.005.
Dickerson, D. E., and P. J. Ackerman. 2016. “Risk-based maintenance management of US public school facilities.” Procedia Eng. 145 (Jan): 685–692. https://doi.org/10.1016/j.proeng.2016.04.069.
Duan, W., W. Dai, Y. Wang, and J. Sun. 2021. “Reliability analysis and optimization of production system for production scheduling.” IOP Conf. Ser.: Mater. Sci. Eng. 1043 (3): 032025. https://doi.org/10.1088/1757-899X/1043/3/032025.
GAO (United States Government Accountability Office). 2022. Defense infrastructure DOD should manage risked posed by deferred facility maintenance. Washington, DC: GAO.
Garcia-Gonzalez, J., and G. A. Castro. 2001. “Short-term hydro scheduling with cascaded and head-dependent reservoirs based on mixed-integer linear programming.” In Vol. 3 of Proc., 2001 IEEE Porto Power Tech Proc., 6. New York: IEEE.
Grussing, M. N. 2012. Facility degradation and prediction models for sustainment, restoration, and modernization (SRM) planning. Champaign, IL: Construction Engineering Research Laboratory, Engineer Research and Development Center.
Grussing, M. N., S. Gunderson, M. Canfield, E. Falconer, A. Antelman, and S. L. Hunter. 2010. Development of the army facility mission dependency index for infrastructure asset management. TR-10-18. Washington, DC: US Army Corps of Engineers Engineer Research and Development Center.
Grussing, M. N., and L. Y. Liu. 2014. “Knowledge-based optimization of building maintenance, repair, and renovation activities to improve facility life cycle investments.” J. Perform. Constr. Facil. 28 (3): 539–548. https://doi.org/10.1061/(ASCE)CF.1943-5509.0000449.
Grussing, M. N., L. Y. Liu, D. R. Uzarski, K. El-Rayes, and N. El-Gohary. 2016. “Discrete Markov approach for building component condition, reliability, and service-life prediction modeling.” J. Perform. Constr. Facil. 30 (5): 04016015. https://doi.org/10.1061/(ASCE)CF.1943-5509.0000865.
Grussing, M. N., and L. R. Marrano. 2007. “Building component lifecycle repair/replacement model for institutional facility management.” In Proc., Computing in Civil Engineering (2007), 550–557. Reston, VA: ASCE.
Heo, J. H., M. K. Kim, G. P. Park, Y. T. Yoon, J. K. Park, S. S. Lee, and D. H. Kim. 2011. “A reliability-centered approach to an optimal maintenance strategy in transmission systems using a genetic algorithm.” IEEE Trans. Power Delivery 26 (4): 2171–2179. https://doi.org/10.1109/TPWRD.2011.2162752.
Hutter, F., H. Hoos, and K. Leyton-Brown. 2014. “An efficient approach for assessing hyperparameter importance.” In Proc., Int. Conf. on Machine Learning, 754–762. Beijing: Baidu.
INSAG (International Nuclear Safety Group). 2011. A framework for an integrated risk informed decision making process. Vienna, Austria: International Atomic Energy Agency.
Jardine, A. K., D. Lin, and D. Banjevic. 2006. “A review on machinery diagnostics and prognostics implementing condition-based maintenance.” Mech. Syst. Signal Process. 20 (7): 1483–1510. https://doi.org/10.1016/j.ymssp.2005.09.012.
Kleiner, Y., and B. Rajani. 2001. “Comprehensive review of structural deterioration of water mains: Statistical models.” Urban Water 3 (3): 131–150. https://doi.org/10.1016/S1462-0758(01)00033-4.
Kobayashi, K., K. Kaito, and N. Lethanh. 2010. “Deterioration forecasting model with multistage Weibull hazard functions.” J. Infrastruct. Syst. 16 (4): 282–291. https://doi.org/10.1061/(ASCE)IS.1943-555X.0000033.
Kumar, A., M. Saini, N. Gupta, D. Sinwar, D. Singh, M. Kaur, and H. N. Lee. 2022. “Efficient stochastic model for operational availability optimization of cooling tower using metaheuristic algorithms.” IEEE Access 10 (Jan): 24659–24677. https://doi.org/10.1109/ACCESS.2022.3143541.
Lavy, S. 2008. “Facility management practices in higher education buildings: A case study.” J. Facil. Manage. 6 (4): 303–315. https://doi.org/10.1108/14725960810908163.
Lebese, A. 2011. Facilities management: Optimisation of maintenance schedules. Hatfield, Pretoria: Univ. of Pretoria.
Lethanh, N., K. Kaito, and K. Kobayashi. 2015. “Infrastructure deterioration prediction with a Poisson hidden Markov model on time series data.” J. Infrastruct. Syst. 21 (3): 04014051. https://doi.org/10.1061/(ASCE)IS.1943-555X.0000242.
Mitchell, Z., J. Hildreth, and M. Vorster. 2011. “Using the cumulative cost model to forecast equipment repair costs: Two different methodologies.” J. Constr. Eng. Manage. 137 (10): 817–822. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000302.
Mohamed, A. G., and M. Marzouk. 2021. “Building condition assessment using artificial neural network and structural equations.” Expert Syst. Appl. 186 (Dec): 115743. https://doi.org/10.1016/j.eswa.2021.115743.
Morcous, G., and Z. Lounis. 2005. “Maintenance optimization of infrastructure networks using genetic algorithms.” Autom. Constr. 14 (1): 129–142. https://doi.org/10.1016/j.autcon.2004.08.014.
Nowlan, F. S., and H. F. Heap. 1978. Reliability-centered maintenance. San Francisco: United Air Lines.
Ommen, T., W. B. Markussen, and B. Elmegaard. 2014. “Comparison of linear, mixed integer and non-linear programming methods in energy system dispatch modelling.” Energy 74 (Sep): 109–118. https://doi.org/10.1016/j.energy.2014.04.023.
Ottoman, G. R., W. B. Nixon, and S. T. Lofgren. 1999. “Budgeting for facility maintenance and repair. I: Methods and models.” J. Manage. Eng. 15 (4): 71–83. https://doi.org/10.1061/(ASCE)0742-597X(1999)15:4(71).
Paz, N. M., and W. Leigh. 1994. “Maintenance scheduling: Issues, results and research needs.” Int. J. Oper. Prod. Manage. 14 (8): 47–69. https://doi.org/10.1108/01443579410067135.
Pelzeter, A. 2007. “Building optimisation with life cycle costs—The influence of calculation methods.” J. Facil. Manage. 5 (2): 115–128. https://doi.org/10.1108/14725960710751861.
Pint, E. M., B. E. Lachman, K. Anania, and C. P. Jackson. 2020. Improving the allocation and execution of army facility sustainment funding. Santa Monica, CA: RAND Corporation.
Sandhu, H. K., S. S. Bodda, and A. Gupta. 2023. “A future with machine learning: Review of condition assessment of structures and mechanical systems in nuclear facilities.” Energies 16 (6): 2628. https://doi.org/10.3390/en16062628.
Siddiqui, A. W., and M. Ben-Daya. 2009. “Reliability centered maintenance.” In Handbook of maintenance management and engineering, 397–415. London: Springer.
Sinha, K. C., V. Patidar, Z. Li, S. Labi, and P. D. Thompson. 2009. “Establishing the weights of performance criteria: Case studies in transportation facility management.” J. Transp. Eng. 135 (9): 619–631. https://doi.org/10.1061/(ASCE)TE.1943-5436.0000039.
Taillandier, F., G. Sauce, and R. Bonetto. 2009. “Risk-based investment trade-off related to building facility management.” Reliab. Eng. Syst. Saf. 94 (4): 785–795. https://doi.org/10.1016/j.ress.2008.09.005.
Thabet, W., and J. Lucas. 2017. “Asset data handover for a large educational institution: Case-study approach.” J. Constr. Eng. Manage. 143 (11): 05017017. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001389.
Uzarski, D. R., and L. A. Burley. 1997. “Assessing building condition by the use of condition indexes.” In Proc., Infrastructure Condition Assessment: Art, Science, and Practice, 365–374. Reston, VA: ASCE.
Vorster, M. C. 1980. “A systems approach to the management of civil engineering construction equipment.” Doctoral dissertation, Ing., Stellenbosch Univ.
Yasin, M. N., R. M. Zin, M. Y. Hamid, M. A. Zakaria, and R. Deraman. 2019. “Deferred maintenance of buildings: A review paper.” IOP Conf. Ser.: Mater. Sci. Eng. 513 (1): 012028. https://doi.org/10.1088/1757-899X/513/1/012028.
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Published In
Journal of Performance of Constructed Facilities
Volume 38 • Issue 2 • April 2024
Copyright
© 2024 American Society of Civil Engineers.
History
Received: Sep 21, 2023
Accepted: Nov 17, 2023
Published online: Jan 29, 2024
Published in print: Apr 1, 2024
Discussion open until: Jun 29, 2024
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