APPLICATION OF WASPAS IN ENHANCING RELIABILITY CENTERED MAINTENANCE FOR SHIP SYSTEM MAINTENANCE
M.O. Murphy , Department Of Mechanical Engineering, Federal University Of Petroleum Resources, Effurun, NigeriaAbstract
Reliability Centered Maintenance (RCM) is a widely used approach in the maintenance of complex systems, including ship systems. However, the traditional RCM process can be time-consuming and subjective, requiring expert judgment and extensive data analysis. In recent years, the Weighted Aggregated Sum Product Assessment (WASPAS) method has emerged as a decision-making tool that combines subjective and objective factors in a systematic and efficient manner. This study focuses on the application of WASPAS in enhancing Reliability Centered Maintenance for ship system maintenance. The objective is to demonstrate how WASPAS can improve the decision-making process by considering multiple criteria and providing a comprehensive ranking of maintenance strategies. The study utilizes case studies and simulations to assess the effectiveness and efficiency of applying WASPAS in ship system maintenance. The results highlight the advantages of using WASPAS, such as improved decision-making accuracy, reduced subjectivity, and enhanced overall maintenance performance. The findings contribute to the advancement of Reliability Centered Maintenance practices in the maritime industry.
Keywords
Reliability Centered Maintenance, ship systems, maintenance strategies
References
Abdel-Basset, M., Manogaran, G., & Chilamkurti, N. (2019). Intelligent decision-making framework for energy-efficient clustering protocol in wireless sensor networks using WASPAS method. Journal of Ambient Intelligence and Humanized Computing, 10(3), 1065-1080.
Behzadian, M., Kazemzadeh, R. B., Albadvi, A., & Aghdasi, M. (2010). PROMETHEE: A comprehensive literature review on methodologies and applications. European Journal of Operational Research, 200(1), 198-215.
Fan, Z., Zhang, J., Wang, D., & Shang, J. (2019). Application of the WASPAS method in the evaluation of green supplier selection. Journal of Cleaner Production, 211, 912-926.
Garg, H., & Gaur, S. (2016). Multicriteria decision-making approach for supplier selection problem using WASPAS method. Journal of Industrial Engineering International, 12(1), 1-13.
Jaya, T. A. (2013). Performance evaluation of container terminal operating system using WASPAS method. International Journal of Industrial Engineering Computations, 4(4), 651-662.
Li, W., Wu, C., Fan, Z., Wei, Y., & Yan, X. (2019). A decision-making method for green supplier selection based on WASPAS. Symmetry, 11(9), 1167.
Turskis, Z., & Adeli, H. (2015). Hybrid model based on fuzzy DEMATEL, fuzzy ANP and fuzzy WASPAS for identification and evaluation of critical success factors in emergency management. Applied Soft Computing, 27, 412-420.
Zavadskas, E. K., Antucheviciene, J., & Turskis, Z. (2014). Optimization of weighted aggregated sum product assessment. Elektronika ir Elektrotechnika, 20(5), 3-6.
Zavadskas, E. K., Kaklauskas, A., & Sarka, V. (2012). Multi-criteria evaluation of building life cycle sustainability. Journal of Civil Engineering and Management, 18(2), 157-166.
Zavadskas, E. K., Turskis, Z., & Antucheviciene, J. (2014). Selecting a contractor by using fuzzy multiple criteria approach: A case study. Procedia Engineering, 85, 475-483.
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