FEATURES OF EVALUATING THE EFFICIENCY OF CARGO VESSEL MAINTENANCE SYSTEMS
DOI:
https://doi.org/10.26906/SUNZ.2024.1.005Keywords:
maintenance, cargo ships, efficiency, forecasting, analysisAbstract
The article deals with the important issue of assessing the efficiency of cargo ship maintenance systems. Analysis of recent research and publications in this area indicates the need to assess the efficiency of cargo ship maintenance. The purpose of the article is to develop and form algorithms for an information system for monitoring the efficiency of cargo ship maintenance indicators for use in an information system for assessing ways to improve the efficiency of maintenance. The results of the article include flowcharts of the algorithms for: collecting data on the parameters of the maintenance system and the technical condition of ship's equipment and structures, monitoring and determining the status of faults and evaluating ways to improve the efficiency of the maintenance system with the possibility of forecasting the efficiency of the maintenance system. The conclusions emphasize the importance of analyzing operational data, using information and communication technologies and a systematic approach to evaluating ways to improve efficiency in order to ensure the reliability and efficiency of cargo ship maintenance.Downloads
References
Igder, M., Rafiei, M., Boudjadar, J., & Khooban, M. (2021). Reliability and Safety Improvement of Emission-Free Ships: Systemic Reliability-Centered Maintenance. IEEE Transactions on Transportation Electrification, 7, 256-266. https://doi.org/10.1109/TTE.2020.3030082.
Bayer, D., Aydin, O., & Çelik, M. (2018). AN ICOR APPROACH TOWARDS SHIP MAINTENANCE SOFTWARE DEVELOPMENT. International Journal of Maritime Engineering. https://doi.org/10.3940/RINA.IJME.2018.A1.444.
Anantharaman, M., Khan, F., Garaniya, V., & Lewarn, B. (2014). A Step by Step Approach for Evaluating the Reliability of the Main Engine Lube Oil System for a Ship's Propulsion System. TransNav: International Journal on Marine Navigation and Safety of Sea Transportation, 8, 367-371. https://doi.org/10.12716/1001.08.03.06.
Prioletti, M., & Tobin, E. (2008). Automating the Surface Force Tank and Void Assessment Process. Naval Engineers Journal, 120, 53-60. https://doi.org/10.1111/J.1559-3584.2008.00123.X.
Sun, C., Wang, H., Liu, C., & Zhao, Y. (2020). Real Time Energy Efficiency Operational Indicator (EEOI): Simulation Research from the Perspective of Life Cycle Assessment. Journal of Physics: Conference Series, 1626. https://doi.org/10.1088/1742-6596/1626/1/012060.
Radonjić, A. (2011). Strategy to reduce pollution from Serbian pushboats. International Journal for Traffic and Transport Engineering, 1.
Hein, K., Xu, Y., Wilson, G., & Gupta, A. (2020). Condition-based Optimal Maintenance and Energy Management of Allelectric Ships. IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society, 3767-3772. https://doi.org/10.1109/IECON43393.2020.9254842.
Mo, B., Dehli, P., Steinebach, C., Lim, T., & Perera, L. (2017). Automated System for Fleet Benchmarking and Assessment of Technical Condition. . https://doi.org/10.1115/OMAE2017-61219.
Anantharaman, M., Islam, R., Khan, F., G., & Lewarn, B. (2019). Data Analysis to Evaluate Reliability of a Main Engine. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation. https://doi.org/10.12716/1001.13.02.18.
Bukša, A., Šegulja, I., & Tomas, V. (2010). Adjustment of Maintenance Approach for Improved Operability and Safety of Ship Navigation. Promet-traffic & Transportation, 22, 95-103. https://doi.org/10.7307/PTT.V22I2.168.
