PERTANIKA JOURNAL OF SOCIAL SCIENCES AND HUMANITIES

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• Aamir, M., Kalwar, K. A., & Mekhilef, S. (2016). Review: Uninterruptible power supply (UPS) system. Renewable and Sustainable Energy Reviews, 58, 1395-1410. https://doi.org/10.1016/j.rser.2015.12.335

• Alrabghi, A., & Tiwari, A. (2015). State of the art in simulation-based optimization for maintenance systems. Computers and Industrial Engineering, 82, 167-182. https://doi.org/10.1016/j.cie.2014.12.022.

• Baruah, P., & Kakati, M. (2020). Developing some Fuzzy modules for finding risk probabilities in Indian PPP projects. Transportation Research Procedia, 48, 3939-3968. https://doi.org/10.1016/j.trpro.2020.08.026

• Bui, T. D., Tsai, F. M., Tseng, M. L., & Ali, M. H. (2020). Identifying sustainable solid waste management barriers in practice using the fuzzy Delphi method. Resources, Conservation & Recycling, 154, Article 104625. https://doi.org/10.1016/j.resconrec.2019.104625

• Carnero, M. C., & Gómez, A. (2017). Maintenance strategy selection in electric power distribution systems. Energy, 129, 255-272. https://doi.org/10.1016/j.energy.2017.04.100

• Chan, D. W. N. (2019). Sustainable building maintenance for safer and healthier cities: Effective strategies for implementing the mandatory building inspection scheme (MBIS) in Hong Kong. Journal of Building Engineering 24, Article 100737. https://doi.org/10.1016/j.jobe.2019.100737

• Cheng, C. H., & Lin, Y. (2002). Evaluating the best main battle tank using fuzzy decision theory with linguistic criteria evaluation. European Journal of Operational Research, 142(1), 174-186. https://doi.org/10.1016/S0377-2217(01)00280-6

• de Silva, N., Ranasinghe, M., & De Silva, C. R. (2012, June 28-30). Maintainability approach for lean maintenance. In World Construction Conference 2012 - Global Challenges in Construction Industry (pp. 100-109). Colombo, Sri Lanka.

• Dong, Y., & Frangopol, D. M. (2015). Risk-informed life-cycle optimum inspection and maintenance of ship structures considering corrosion and fatigue. Ocean Engineering, 101, 161-171. https://doi.org/10.1016/j.oceaneng.2015.04.020

• Dzulkifli, N., Sarbini, N. N., Ibrahim, I. S., Abidin, N. I., Yahaya, F. M., & Azizan, N. Z. N. (2021). Review on maintenance issues toward building maintenance management best practices. Journal of Building Engineering, 44, Article 102985. https://doi.org/10.1016/j.jobe.2021.102985

• Ferreira, C., Dias, I. S., Silva, A., de Brito, J., & Flores-Colen, I. (2021). Criteria for selection of cladding systems based on their maintainability. Journal of Building Engineering, 39, Article 102260. https://doi.org/10.1016/j.jobe.2021.102260

• Fraser, K. (2014). Facilities management: The strategic selection of a maintenance system. Journal of Facilities Management, 12(1), 18-37. https://doi.org/10.1108/JFM-02-2013- 0010

• Gan, J., Zhang, W. Y., Wang, L., & Zhang, X. H. (2021). Joint optimization model for condition-based maintenance and production scheduling of two-component systems. Control and Decision, 36(6), 1377-1386.

• Ganisen, S., Mohammad, I. S., Nesan, L. J., Mohammed, A. H., & Kanniyapan, G. (2015). The identification of design for maintainability imperatives to achieve cost-effective building maintenance: A Delphi study. Jurnal Teknologi, 77(30), 75-88. https://doi.org/10.11113/jt.v77.6871

• Gholami, J., Razavi, A., & Ghaffarpour, R. (2021). Decision-making regarding the best maintenance strategy for electrical equipment of buildings based on fuzzy analytic hierarchy process: Case study: Elevator. Journal of Quality in Maintenance Engineering, 1-16. https://doi.org/10.1108/JQME-03-2020-0015

• Hasan, A., Hafiz, F. M. N., & Shahril, M. M. H. (2017). Application of fuzzy Delphi approach determining element in technical skills among students towards the electrical engineering industry needs. Pertanika Journal Social Sciences & Humanities, 25(S), 1-8.

• Hsu, C., & Sandford, B. (2007). The Delphi technique: Making sense of consensus. Practical Assessment, Research & Evaluation, 12, 1-8.

• Hu, Y., Miao, X., Zhang, J., Liu, J., & Pan, E. (2021). Reinforcement learning-driven maintenance strategy: A novel solution for long-term aircraft maintenance decision optimization. Computers & Industrial Engineering, 153, Article 107056. https://doi.org/10.1016/j.cie.2020.107056

• Ighravwe, D. E., & Oke, S. A. (2019). A multi-criteria decision-making framework for selecting a suitable maintenance strategy for public buildings using sustainability criteria. Journal of Building Engineering, 24, Article 100753. https://doi.org/10.1016/j.jobe.2019.100753

• Islam, M. S., Nepal, M. P., Skitmore, M., & Attarzadeh, M. (2017). Current research trends and application areas of fuzzy and hybrid methods to the risk assessment of construction projects. Advanced Engineering Informatics, 33, 112-131. https://doi.org/10.1016/j.aei.2017.06.001

• Islam, R., Nazifa, T. H., Mohammed, S. F., Zishan, M. A., Yusof, Z. M., & Mong, S. G. (2021). Impacts of design deficiencies on maintenance cost of high-rise residential buildings and mitigation measures. Journal of Building Engineering, 39, Article 102215. https://doi.org/10.1016/j.jobe.2021.102215

• Jafari, A., Jafarian, M., Zareei, A., & Zaerpour, F. (2008). Using the fuzzy Delphi method in maintenance strategy selection problem. Journal of Uncertain Systems, 2(4), 289-298.

• Jiang, A., Huang, Z., Xu, J., & Xu, X. (2021). Condition-based opportunistic maintenance policy for a series - Parallel hybrid system with economic dependence. Journal of Quality in Maintenance Engineering, 1-22. https://doi.org/10.1108/JQME-12-2020-0128

• Kim, J., Han, M., Lee, Y., & Park, Y. (2016). Futuristic data-driven scenario building: Incorporating text mining and fuzzy association rule mining into the fuzzy cognitive map. Expert Systems with Applications, 57, 311-323. https://doi.org/10.1016/j.eswa.2016.03.043

• Kumar, A., Shankar, R., & Thakur, L. S. (2018). A big data-driven sustainable manufacturing framework for condition-based maintenance prediction. Journal of Computational Science, 27, 428-439. https://doi.org/10.1016/j.jocs.2017.06.006

• Lee, J., & Mitici, M. (2020) An integrated assessment of safety and efficiency of aircraft maintenance strategies using agent-based modelling and stochastic Petri nets. Reliability Engineering and System Safety, 202, Article 107052. https://doi.org/10.1016/j.ress.2020.107052

• Lin, S., Li, N., Yang, C., & Fan, R. (2021). Condition-based maintenance strategy research for traction power supply equipment based on available linearized wiener process. Journal of the China Railway Society, 43(4), 51-59.

• Liu, Y. T., Pal, N. R., Marathe, A. R., Wang, Y. K., & Lin, C. T. (2017). Fuzzy decision-making fuser (FDMF) for integrating human-machine autonomous (HMA) systems with adaptive evidence sources. Frontiers in Neuroscience, 11(332), 1-10. https://doi.org/10.3389/fnins.2017.00332

• Liu, B., Liang, Z., Parlikad, A. K., Xie, M., & Kuo, W. (2017). Condition-based maintenance for systems with ageing and cumulative damage based on proportional hazards model. Reliability Engineering & System Safety, 168, 200-209. https://doi.org/10.1016/j.ress.2017.04.010

• Love, P. E. D., & Matthews, J. (2020). Quality, requisite imagination and resilience: Managing risk and uncertainty in construction. Reliability Engineering and System Safety, 204, Article 107172. https://doi.org/10.1016/j.ress.2020.107172

• Ludwig, B. (1997). Predicting the future: Have you considered using the Delphi methodology? Journal of Extension, 35(5), 1-4.

• Madureira, S., Flores-Colen, I., de Brito, J., & Pereira, C. (2017). Maintenance planning of facades in current buildings. Construction and Building Materials, 147, 790-802. https://doi.org/10.1016/j.conbuildmat.2017.04.195

• Mechaefske, C. K. (2003) Using linguistics to select optimum maintenance and condition monitoring strategies. Mechanical Systems and Signal Processing, 17(2), 305-316. https://doi.org/10.1006/mssp.2001.1395

• Mitrofani, I. A., Emiris, D. M., & Koulouriotis, D. E. (2020). An industrial maintenance decision support system based on fuzzy inference to optimize scope definition. Procedia Manufacturing, 51, 1538-1543. https://doi.org/10.1016/j.promfg.2020.10.214

• Murray, T. J., Pipino, L. L., & Gigch, J. P. (1985). A pilot study of fuzzy set modification of Delphi. Human Systems Management, 5(1), 76-80. https://doi.org/10.3233/HSM-1985-5111

• Najafi, S., Zheng, R., & Lee, C. G. (2021). An optimal opportunistic maintenance policy for a two-unit series system with general repair using proportional hazards models. Reliability Engineering and System Safety, 215, Article 107830. https://doi.org/10.1016/j.ress.2021.107830

• Napoleone, A., Roda, I., & Macchi, M. (2016). The implications of condition monitoring on asset-related decision-making in the Italian power distribution sector. IFAC-Papers OnLine, 49(28), 108-113. https://doi.org/10.1016/j.ifacol.2016.11.019

• Niu, D., Guo, L., Bi, X., & Wen, D., (2021). Preventive maintenance period decision for elevator parts based on multi-objective optimization method. Journal of Building Engineering, 44, Article 102984. https: //doi.org/10.1016/j.jobe.2021.102984

• Nquyen, H. T., Dawal, S. Z. M., Nukman, Y., & Aoyama, H. (2014). A hybrid approach for fuzzy multi-attribute decision making in machine tool selection with consideration of the interactions of attributes. Expert Systems with Applications, 41, 3078-3090. https://doi.org/10.1016/j.eswa.2013.10.039

• Rasmekomen, N., & Parlikad, A. K. (2016). Optimizing maintenance of multi-component systems with degradation interactions. Reliability Engineering & System Safety, 148, 1- 10. https://doi.org/10.1016/j.ress.2015.11.010

• Tarmudi, Z., Tap, A. O. M., & Abdullah, M. L. (2012). Equilibrium linguistic computation method for fuzzy group decision-making. Malaysian Journal of Mathematical Sciences, 6(2), 225-242.

• Tran, V. T., Pham, H. T., Yang, B. S., & Nguyen, T. T. (2012). Machine performance degradation assessment and remaining useful life prediction using proportional hazard model and support vector machine. Mechanical Systems and Signal Processing, 32, 320-330. https://doi.org/10.1016/j.ymssp.2012.02.015

• Wang, B., & Xia, X. (2015). Optimal maintenance planning for building energy efficiency retrofitting from optimization and control system perspectives. Energy and Buildings, 96, 299-308. https://doi.org/10.1016/j.enbuild.2015.03.032

• Wang, Z., Wang, W., Ma, D., Guo, X., Huan, J., & Cheng, L. (2020). Coupling model of fuzzy soft set and Bayesian method to forecast internal defects of ancient wooden structures based on nondestructive test. BioResources, 15(1), 1134-1153.

• Yoon, S., Weidner, T., & Hastak, M. (2021). Total- package-prioritization mitigation strategy for deferred maintenance of a campus-sized institution. Journal of Construction Engineering and Management, 147(3), Article 04020185. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001956

• Yu, T., Zhu, C., Chang, Q., & Wang, J. (2019). Imperfect corrective maintenance scheduling for energy-efficient manufacturing systems through online task allocation method. Journal of Manufacturing Systems, 53, 282-290. https://doi.org/10.1016/j.jmsy.2019.11.002

• Zadeh, L. A. (1965). Fuzzy Sets. Information and Control 8, 338-353. https://doi.org/10.1016/S0019-9958(65)90241-X

• Zaranezhad, A., Mahabadi, H. A., & Dehghani, M. R. (2019). Development of prediction models for repair and maintenance-related accidents at oil refineries using artificial neural network, fuzzy system, genetic algorithm, and ant colony optimization algorithm. Process Safety and Environmental Protection, 131, 331-348. https://doi.org/10.1016/j.psep.2019.08.031

• Zavadskas, E. K., Turskis, Z., Vilutienė, T., & Lepkova, N. (2017). Integrated group fuzzy multi-criteria model: Case of facilities management strategy selection. Expert Systems with Applications, 82, 317-331. https://doi.org/10.1016/j.eswa.2017.03.072