A Systematic Literature Review Focused on Determining Suitable Maintenance Technique / Strategy
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Maintenance is a critical activity across sectors for sustaining asset performance over their intended service life; neglecting maintenance may result in catastrophic accidents, substantial loss of life, or asset damage. Maintenance is the process of restoring a physical or intangible asset to its original condition to ensure it fulfils its essential function throughout its life cycle. The purpose of this paper is to review the literature on maintenance technique strategies and maintenance management classifications, and to suggest a suitable maintenance strategy applicable to any particular asset or specific industry. The paper systematically categorizes the published literature and then methodically analyzes and reviews it. A new shift in maintenance paradigm is also highlighted. A total of 44 journal-reviewed articles on relevance, published between 2005 and 2025, were examined across various sectors. The paper review categorizes the literature using a maintenance management classification tree, and we focus on selecting a suitable maintenance strategy for a particular asset or industry, or for none at all.
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Boyce, M. P. (2017). Gas Turbine Engineering Handbook, Gulf Professional Publishing.
Carlton, J. S. (2019). Propeller Maintenance and Repair. Marine Propellers and Propulsion. London: Elsevier Ltd.
Collina, G., Cantini, A., Leoni, L., Ferraro, S., De Carlom, F., Bucelli, M. & Paltrinieri, N. (2024). Hydrogen in Glass Sector: A Comparison between Risk-Based Maintenance and Time-Based Maintenance Approaches. IFAC-PapersOnLine, 58, pp. 109-114.
da Silva, R. F., Melani, A. H. d. A., Michalski, M. A. d. C. & de Souza, G. F. M. (2023). Reliability and Risk Centered Maintenance: A Novel Method for Supporting Maintenance Management. Applied Sciences, 13.
De Jonge, B. & Scarf, P. A. (2020). A review of maintenance optimization. European Journal of Operational Research, 285, pp. 805-824.
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Duffuaa, S. O. & Al-Shayea, M. M. (2020). Systematic and Effective Maintenance Capacity Planning. 2020 Industrial & Systems Engineering Conference (ISEC), pp. 1-4.
Dutoit, C., Dehombreux, P. & Rivière Lorphèvre, E. (2018). Using quality control in optimizing opportunistic maintenance. IFAC PapersOnline, 51, pp. 643-648.
Fan, D., Ren, Y., Feng, Q., Zhu, B., Liu, Y. & Wang, Z. (2019). A hybrid heuristic optimization of maintenance routing and scheduling for offshore wind farms. Journal of Loss Prevention in the Process Industries, 62.
FEMA, F. E. M. A., U.S. Department of Homeland Security (2022). Nonresidential Building Equipment Malfunction
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Geurtsen, M., Adan, I. & Atan, Z. (2024). Planning of multi-production line maintenance. Journal of Manufacturing Systems, 75, pp. 174-193.
Gouiaa-Mtibaa, A., Dellagi, S., Achour, Z. & Erray, W. (2016). Integrated Maintenance-Quality strategies with reworking activities. IFAC PapersOnLine, 49, pp. 61-66.
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Guo, B., Song, S., Ghalambor, A. & Lin, T. R. (2014). Offshore Pipelines; Design, Installation, and Maintenance. Second ed. USA: Gulf Professional Publishing.
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Jayasinghe, G. Y., Perera, T. A. N. T., Perera, H. A. T. N., Karunarathne, H. D., Manawadu, L., Weerasinghe, V. P. A., Sewwandi, B. G. N., Haroon, M. H., Chamindi, M., Dilanthi, A. & Richard, H. (2024). A systematic literature review on integrating disaster risk reduction (DRR) in sustainable tourism (SusT): Conceptual framework for enhancing resilience and minimizing environmental impacts. International Journal of Disaster Risk Reduction, 111, pp. 104742.
Jiang, Q., Li, X., Yang, L., Ma, Y. & Li, H. (2024). Innovation and Application of Reliability-Centered Maintenance Technology for Pumped Storage Power Plant. Journal of Physics: Conference Series, 2694, pp. 1-8.
Kampitsis, D. & Panagiotidou, S. (2022). A Bayesian condition-based maintenance and monitoring policy with variable sampling intervals. Reliability Engineering & System Safety, 218.
Kanoun, Y., Aghbash, A. M., Belem, T., Zouari, B. & Mrad, H. (2024). Failure prediction in the refinery piping system using machine learning algorithms: classification and comparison. Procedia Computer Science, 232, pp. 1663-1672.
Kiran, S., Kumar, K. P. P., Sreejith, B. & Muralidharan, M. (2016). Reliability Evaluation and Risk Based Maintenance in a Process Plant. Procedia Technology, 24, pp. 576-583.
Lee, W. J., Joung, B. G. & Sutherland, J. W. (2023). Environmental and economic performance of different maintenance strategies for a product subject to efficiency erosion. Journal of Cleaner Production, 389, pp. 1-14.
Lesage, A. & Dehombreux, P. (2012). Maintenance & Quality Control: A First Methodological Approach for Maintenance Policy Optimization. IFAC Proceedings Volumes, 45, pp. 1041-1046.
Li, X., Liu, Y., Han, Z. & Chen, G. (2024). A risk-based maintenance decision model for subsea pipeline considering pitting corrosion growth. Process Safety and Environmental Protection, 184, pp. 1306-1317.
Madureira, S., Flores-Colen, I., de Brito, J. & Pereira, C. (2017). Maintenance planning of facades in current buildings. Construction and Building Materials, 147, pp. 790-802.
Mehmeti, X., Mehmeti, B. & Sejdiu, R. (2018). The equipment maintenance management in manufacturing enterprises. IFAC PapersOnLine, 51, pp. 800-802.
Mohamed Mansour, D. M., Moustafa, I. M., Khalil, A. H. & Mahdi, H. A. (2019). An assessment model for identifying maintenance priorities strategy for bridges. Ain Shams Engineering Journal, 10, pp. 695-704.
Loutfy and Elhag 2025
Proc. of the 23rd CIB World Building Congress, 19th – 23rd May 2025, Purdue University, West Lafayette, USA 10
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Nguyen, T.-A.-T., Chou, S.-Y. & Yu, T. H.-K. (2022). Developing an exhaustive optimal maintenance schedule for offshore wind turbines based on risk-assessment, technical factors and cost-effective evaluation. Energy, 249, pp. 123613.
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Vinnem, J. E., Haugen, S. & Okoh, P. (2016). Maintenance of petroleum process plant systems as a source of major accidents? Journal of Loss Prevention in the Process Industries, 40, pp. 348-356.
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Loutfy and Elhag 2025
Proc. of the 23rd CIB World Building Congress, 19th – 23rd May 2025, Purdue University, West Lafayette, USA 11
Zhang, H., Wei, X., Liu, Z., Ding, Y. & Guan, Q. (2024a). Condition-based Maintenance for Multi-state Systems with Prognostic and Deep Reinforcement Learning. Reliability Engineering & System Safety, pp. 110659.
Zhang, W., He, S., Zhang, X. & Zhao, X. (2024b). Joint optimization of job scheduling, condition-based maintenance planning, and spare parts ordering for degrading production systems. Reliability Engineering & System Safety, 252, pp. 110447.
