OPTIMIZING MARINE DIESEL ENGINE MAINTENANCE: A PROACTIVE COST-EFFICIENCY STRATEGY

Miral Michel, Omar M. Alkholy, Omar K. Mahdy, Kareem M. Yousef, Mohamed N. Abdalazeem, Omar M. Mowafy, Ahmed S. Shehata

Abstract


The world is currently working towards applying proactive maintenance, as it leads to reducing operating costs over time. As the previous studies didn’t analyse the cost advantage of applicate proactive maintenance techniques compared to other maintenance approaches in the maritime industry. The aim of this paper is to show the benefits of using proactive maintenance on marine diesel engines which are highlighted by a reduction in maintenance costs. A mathematical model has been created to show the cost reduction of using proactive maintenance in comparison to other maintenance types depending on downtime cost, spare parts cost, and services cost. The results show the benefits of using proactive approaches to reduce maintenance costs with an average of $2815.22 compared to predictive maintenance. 

Keywords


Proactive Maintenance, Cost Reduction, Marine Diesel Engines, Mathematical Model, Optimization.

Full Text:

PDF

References


Akpan, W. and OgunsolaT.M, Optimization of Preventive Maintenance Practice in Maritime Industry. 2015. Volume 5: p. 103-109.

Louhichi, R., M. Sallak, and J. Pelletan. A cost model for predictive maintenance based on risk-assessment. in 13ème Conférence internationale CIGI QUALITA 2019. 2019. Montréal, Canada.

Hao, Q., et al., A Decision Support System for Integrating Corrective Maintenance, Preventive Maintenance, and Condition-Based Maintenance. 2010.

Nunes, P., J. Santos, and E. Rocha, Challenges in predictive maintenance – A review. CIRP Journal of Manufacturing Science and Technology, 2023. 40: p. 53-67.

Dragos, S., et al., Naval maintenance. From corrective maintenance to condition monitoring and IoT. Future trends set by latest IMO amendments and autonomous ships. 2021.

Lazakis, I., et al., Establishing the optimum vessel maintenance approach based on system reliability and criticality analysis. Managing Reliability & Maintainability in the Maritime Industry, 2012.

Karatuğ, Ç., Y. Arslanoğlu, and C.G. Soares, Review of maintenance strategies for ship machinery systems. Journal of Marine Engineering & Technology, 2023. 22(5): p. 233-247.

Trade, U.N.C.o. and Development, Review of Maritime Transport 2022. 2022: United Nations.

Koilo, V., Sustainability issues in maritime transport and main challenges of the shipping industry. Environmental Economics, 2019. 10: p. 48-65.

Sujesh, G., S. Ganesan, and S. Ramesh, Effect of CeO2 nano powder as additive in WME-TPO blend to control toxic emissions from a light-duty diesel engine – An experimental study. Fuel, 2020. 278: p. 118177.

Pudar, A., Maintenance Reliability in Maritime Industry. 2023.

Deljac, Ž. and M. Randic, A method to minimize the maintenance costs of a broadband access network based on optimal steady-state probability mixture distribution of proactive and reactive maintenance. Computers and Electrical Engineering, 2022. 102: p. 108280.

Hickenbottom, C. Proactive Approaches for Engine Health Management and a High Value Example. in 2022 IEEE Aerospace Conference (AERO). 2022.

Shi, Q., Y. Hu, and F. Gao, Prioritization of key practices for marine diesel engine maintenance activities using 2-tuple linguistic term set and DEMATEL. Ocean Engineering, 2023. 286: p. 115644.

Jian, W., et al. Application of relevance vector machine in the engine oil wear particle fault diagnosis. in 2013 2nd International Symposium on Instrumentation and Measurement, Sensor Network and Automation (IMSNA). 2013.

Silva, M.P.d., F. Volpato, and M.A.R. Dantas. Proactive Autonomic Semantic Engine to User Experience-Aware Service Provision. in 2018 IEEE Symposium on Computers and Communications (ISCC). 2018.

Lion, S., et al., Thermodynamic analysis of waste heat recovery using Organic Rankine Cycle (ORC) for a two-stroke low speed marine Diesel engine in IMO Tier II and Tier III operation. Energy, 2019. 183: p. 48-60.

Akpan, W., A Budget Based Optimization of Preventive Maintenance in Maritime Industry. 2015.

Ingemarsdotter, E., et al., Challenges and solutions in condition-based maintenance implementation - A multiple case study. Journal of Cleaner Production, 2021. 296: p. 126420.

Han, X., et al., Remaining useful life prediction and predictive maintenance strategies for multi-state manufacturing systems considering functional dependence. Reliability Engineering & System Safety, 2021. 210: p. 107560.

Coleman, C., et al., Making maintenance smarter Predictive maintenance and the digital supply network. 2017, Deloitte University Press.




DOI: https://dx.doi.org/10.21622/MARLOG.2024.13.1.76

Refbacks

  • There are currently no refbacks.


Copyright (c) 2025 Miral Michel, Omar M. Alkholy, Omar K. Mahdy, Kareem M. Yousef, Mohamed N. Abdalazeem, Omar M. Mowafy, Ahmed S. Shehata

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

The International Maritime Transport and Logistics Journal (MARLOG)

E-ISSN: 2974-3141
P-ISSN: 2974-3133

Published by:

Academy Publishing Center (APC)

Arab Academy for Science, Technology and Maritime Transport (AASTMT)

Alexandria, Egypt