Research Article
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Year 2024, Volume: 20 Issue: 1, 43 - 65

Alper Seyhan Murat Bayraktar Onur Yüksel

https://doi.org/10.56850/jnse.1430191

Abstract

References

  • Alamri, T. O., & Mo, J. P. (2023). Optimisation of preventive maintenance regime based on failure mode system modelling considering reliability. Arabian Journal for Science and Engineering, 48(3), 3455-3477. https://doi.org/10.1007/s13369-022-07174-w
  • AIS. (2018). Warranty & Terms and Conditions. Retrieved on March 7, 2024, from https://www.ais-inc.com/files/AISTermsWarranty.pdf
  • Aslanpour, M. S., Gill, S. S., & Toosi, A. N. (2020). Performance evaluation metrics for cloud, fog and edge computing: A review, taxonomy, benchmarks and standards for future research. Internet of Things, 12, 100273. https://doi.org/10.1016/j.iot.2020.100273
  • BahooToroody, A., Abaei, M. M., Banda, O. V., Montewka, J., & Kujala, P. (2022). On reliability assessment of ship machinery system in different autonomy degree; A Bayesian-based approach. Ocean Engineering, 254, 111252. https://doi.org/10.1016/j.oceaneng.2022.111252
  • Bayraktar, M., & Nuran, M. (2022). Reliability, availability, and maintainability analysis of the propulsion system of a fleet. Scientific Journals of the Maritime University of Szczecin, Zeszyty Naukowe Akademii Morskiej w Szczecinie, (70). https://doi.org/10.17402/509
  • Bayraktar, M., & Yüksel, O. (2023). Reliability Analysis on the Engine Room Systems of the Ro-Ro Passenger Ship. 8. International Sciences And Innovation Congress, Ankara.
  • Bicen, S., & Celik, M. (2023). A RAM extension to enhance ship planned maintenance system. Australian Journal of Maritime & Ocean Affairs, 15(3), 357-376. Bicen, S., & Celik, M. (2023). A RAM extension to enhance ship planned maintenance system. Australian Journal of Maritime & Ocean Affairs, 15(3), 357-376.
  • Bicen, S., Kandemir, C., & Celik, M. (2021). A human reliability analysis to crankshaft overhauling in dry-docking of a general cargo ship. Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment, 235(1), 93-109. https://doi.org/10.1177/14750902209483
  • BlueLine. (2024). ECDIS Marine Panel PC-8800. Retrieved on March 7, 2024, from https://blue-line.com/products/maritime-displays-computers/blue-line ecdismarinepanel-pc-8800
  • Breneman, J. E., Sahay, C., & Lewis, E. E. (2022). Introduction to reliability engineering. John Wiley & Sons.
  • Ceylan, B. O., Karatuğ, Ç., Ejder, E., Uyanık, T., & Arslanoğlu, Y. (2023). Risk assessment of sea chest fouling on the ship machinery systems by using both FMEA method and ERS process. Australian Journal of Maritime & Ocean Affairs, 15(4), 414-433. https://doi.org/10.1080/18366503.2022.2104494
  • ChartWorld. (2024). ECDIS Solutions. Retrieved on March 7, 2024 from https://www.chartworld.com/web/ecdis-solutions/.
  • ClassNK. (2024). Register of Ships. Retrieved on January 1, 2024 from https://www.classnk.or.jp/register/regships/regships.aspx.
  • EO Lifesaving. (2024). Lifeboat. on January 1, 2024 from https://www.eolifesaving.com/wp-content/uploads/2016/05/LB-TE-DC-JY-QFP-1180-spec.pdf
  • Eriksen, S., Utne, I. B., & Lützen, M. (2021). An RCM approach for assessing reliability challenges and maintenance needs of unmanned cargo ships. Reliability Engineering & System Safety, 210, 107550. https://doi.org/10.1016/j.ress.2021.107550
  • Furuno. (2024). Complete Operator’s Guide to Marine Radar. Retrieved on March 7, 2024 from https://www.furunousa.com/-/media/sites/furuno/reference_materials/furunoradarguide_lr.pdf.
  • Ghosh, S., & Rana, A. K. (2011). Comparative study of the factors that affect maintainability. International Journal on Computer Science and Engineering, 3(12), 3763.
  • Gullo, L. J., & Dixon, J. (2021). Maintainability Requirements and Design Criteria. Design for Maintainability, 79-96. https://doi.org/10.1002/9781119578536.ch5
  • Ivanovskaya, A. V., Klimenko, N. P., & Popov, V. V. (2022). Statistical analysis of fishing vessel deck equipment elements failures. Vestnik Gosudarstvennogo universiteta morskogo i rechnogo flota imeni admirala SO Makarova, 14, 440-448.
  • James, A. T. (2021). Reliability, availability and maintainability aspects of automobiles. Life Cycle Reliability and Safety Engineering, 10(1), 81-89. https://doi.org/10.1007/s41872-020-00130-3
  • Karahalios, H. (2018). The severity of shipboard communication failures in maritime emergencies: A risk management approach. International journal of disaster risk reduction, 28, 1-9.
  • Karatuğ, Ç., Arslanoğlu, Y., & Soares, C. G. (2023). Design of a decision support system to achieve condition-based maintenance in ship machinery systems. Ocean Engineering, 281, 114611. https://doi.org/10.1016/j.ijdrr.2018.02.015
  • Kimera, D., & Nangolo, F. N. (2022). Reliability maintenance aspects of deck machinery for ageing/aged fishing vessels. Journal of Marine Engineering & Technology, 21(2), 100-110. https://doi.org/10.1080/20464177.2019.1663595
  • Kuzu, A. C. (2023). Application of fuzzy DEMATEL approach in maritime transportation: A risk analysis of anchor loss. Ocean Engineering, 273, 113786. https://doi.org/10.1016/j.oceaneng.2023.113786
  • Marine Deck Crane. (2024). Marine Stiff Boom Crane. Retrieved on March 7, 2024 from https://www.marinedeckcrane.com/sale-37983491-marine-stiff-boom-crane-60-90-days-delivery-1-year-warranty-on-site-installation.html
  • Perera, L. P. (2018, June). Autonomous ship navigation under deep learning and the challenges in COLREGs. In International Conference on Offshore Mechanics and Arctic Engineering (Vol. 51333, p. V11BT12A005). American Society of Mechanical Engineers. https://doi.org/10.1115/OMAE2018-77672
  • Perera, L. P., Carvalho, J. P., & Soares, C. G. (2013). Solutions to the failures and limitations of Mamdani fuzzy inference in ship navigation. IEEE Transactions on Vehicular Technology, 63(4), 1539-1554. https://doi.org/10.1109/TVT.2013.2288306
  • Sayareh, J., & Ahouei, V. R. (2013). Failure mode and effects analysis (FMEA) for reducing the delays of cargo handling operations in marine bulk terminals. Journal of Maritime Research, 10(2), 43-50.
  • Simrad. (2024). Warranty Information. Retrieved on March 7, 2024 from https://www.navico-commercial.com/support/warranty-information/
  • Smith, D. J. (2021). Reliability, maintainability, and risk: practical methods for engineers. Butterworth-Heinemann.
  • SperryMarine (2022). Compass Solutions. Retrieved on March 7, 2024 from https://www.sperrymarine.com/system/files/downloads/8caf952b-fc8e-47ca-86eb-1a5b0ff87ae9/SperryMarine_Compass_Brochure_CompassSolutions.pdf
  • Stopford, M. (2008). Maritime economics 3e. Routledge.
  • Sürücü, L., & Maslakci, A. (2020). Validity and reliability in quantitative research. Business & Management Studies: An International Journal, 8(3), 2694-2726. https://doi.org/10.15295/bmij.v8i3.1540
  • Tortorella, M. (2015). Reliability, maintainability, and supportability: best practices for systems engineers. John Wiley & Sons.
  • Tsarouhas, P. (2020). Reliability, availability, and maintainability (RAM) study of an ice cream industry. Applied Sciences, 10(12), 4265. https://doi.org/10.3390/app10124265
  • United States Department of Agriculture. (2021). Bulk Vessel Types and Capacity. Retrieved on December 2, 2023, from https://agtransport.usda.gov/stories/s/Bulk-Vessel-Fleet-Size-and-Rates/bwaz-8sgs/.
  • Velásquez, R. M. A., & Lara, J. V. M. (2018). Reliability, availability and maintainability study for failure analysis in series capacitor bank. Engineering Failure Analysis, 86, 158-167. https://doi.org/10.1016/j.engfailanal.2018.01.008
  • Wärtsilä. (2024). Automatic radar plotting aids (ARPA). Retrieved on March 6, 2024, from https://www.wartsila.com/encyclopedia/term/automatic-radar-plotting-aids(arpa)#:~:text=Automatic%20radar%20plotting%20aids%20are,plotter%20or%20separate%20plotting%20aid.
  • Xiaoxia, W., & Chaohua, G. (2002). Electronic chart display and information system. Geo-spatial Information Science, 5(1), 7-11.
  • Yang, G. (2007). Life cycle reliability engineering. John Wiley & Sons.
  • Zacks, S. (2012). Introduction to reliability analysis: probability models and statistical methods. Springer Science & Business Media.
  • Zhang, Y., Jin, H., Jia, N., & Zou, A. (2013, August). Cascading failure evalution of ship fire-fighting system. In 2013 IEEE International Conference on Mechatronics and Automation (pp. 622-626). IEEE. https://doi.org/10.1109/ICMA.2013.6617988
  • Zhou, Q., & Thai, V. V. (2016). Fuzzy and grey theories in failure mode and effect analysis for tanker equipment failure prediction. Safety science, 83, 74-79. https://doi.org/10.1016/j.ssci.2015.11.013

THE RELIABILITY EVALUATION OF THE DECK MACHINERY AND GALLEY EQUIPMENT OF A BULK CARRIER BY UTILIZING THE FAILURE RECORDS

Year 2024, Volume: 20 Issue: 1, 43 - 65

Alper Seyhan Murat Bayraktar Onur Yüksel

https://doi.org/10.56850/jnse.1430191

Abstract

Among various modes of transportation, maritime transportation holds critical importance since it provides substantial carrying capacity with low unit costs. To perform seamless and efficient operations in maritime transportation plays a pivotal role in achieving sustainable development goals and the International Maritime Organization (IMO) targets. The execution of uninterrupted operations can only be carried out with the existence of reliable systems. Creating reliable systems onboard is possible through the implementation of planned and proactive maintenance strategies and leveraging experiences gained from past failures. 10-year failure records of bulk carriers have been scrutinized within the scope of system reliability to determine critical equipment and units. The data has been categorized into subgroups under four fundamental headings, and subsequent reliability analyses have been conducted on each subgroup. Within the subgroups, the reliability of navigation equipment should be improved since it has the highest failure rate and its malfunction can cause very serious marine accidents. This equipment is followed by fire-fighting systems, cargo equipment, and GMDSS instruments which are essential for ship operations based on reliability results. Therefore, regular failure records, planned and proactive maintenance strategies, and also extra efforts should be performed on this equipment to ensure sustainable and seamless operations in the maritime sector.

Keywords

Reliability Analysis Navigation Equipment Communication Devices Cargo Equipment Failure Records

References

  • Alamri, T. O., & Mo, J. P. (2023). Optimisation of preventive maintenance regime based on failure mode system modelling considering reliability. Arabian Journal for Science and Engineering, 48(3), 3455-3477. https://doi.org/10.1007/s13369-022-07174-w
  • AIS. (2018). Warranty & Terms and Conditions. Retrieved on March 7, 2024, from https://www.ais-inc.com/files/AISTermsWarranty.pdf
  • Aslanpour, M. S., Gill, S. S., & Toosi, A. N. (2020). Performance evaluation metrics for cloud, fog and edge computing: A review, taxonomy, benchmarks and standards for future research. Internet of Things, 12, 100273. https://doi.org/10.1016/j.iot.2020.100273
  • BahooToroody, A., Abaei, M. M., Banda, O. V., Montewka, J., & Kujala, P. (2022). On reliability assessment of ship machinery system in different autonomy degree; A Bayesian-based approach. Ocean Engineering, 254, 111252. https://doi.org/10.1016/j.oceaneng.2022.111252
  • Bayraktar, M., & Nuran, M. (2022). Reliability, availability, and maintainability analysis of the propulsion system of a fleet. Scientific Journals of the Maritime University of Szczecin, Zeszyty Naukowe Akademii Morskiej w Szczecinie, (70). https://doi.org/10.17402/509
  • Bayraktar, M., & Yüksel, O. (2023). Reliability Analysis on the Engine Room Systems of the Ro-Ro Passenger Ship. 8. International Sciences And Innovation Congress, Ankara.
  • Bicen, S., & Celik, M. (2023). A RAM extension to enhance ship planned maintenance system. Australian Journal of Maritime & Ocean Affairs, 15(3), 357-376. Bicen, S., & Celik, M. (2023). A RAM extension to enhance ship planned maintenance system. Australian Journal of Maritime & Ocean Affairs, 15(3), 357-376.
  • Bicen, S., Kandemir, C., & Celik, M. (2021). A human reliability analysis to crankshaft overhauling in dry-docking of a general cargo ship. Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment, 235(1), 93-109. https://doi.org/10.1177/14750902209483
  • BlueLine. (2024). ECDIS Marine Panel PC-8800. Retrieved on March 7, 2024, from https://blue-line.com/products/maritime-displays-computers/blue-line ecdismarinepanel-pc-8800
  • Breneman, J. E., Sahay, C., & Lewis, E. E. (2022). Introduction to reliability engineering. John Wiley & Sons.
  • Ceylan, B. O., Karatuğ, Ç., Ejder, E., Uyanık, T., & Arslanoğlu, Y. (2023). Risk assessment of sea chest fouling on the ship machinery systems by using both FMEA method and ERS process. Australian Journal of Maritime & Ocean Affairs, 15(4), 414-433. https://doi.org/10.1080/18366503.2022.2104494
  • ChartWorld. (2024). ECDIS Solutions. Retrieved on March 7, 2024 from https://www.chartworld.com/web/ecdis-solutions/.
  • ClassNK. (2024). Register of Ships. Retrieved on January 1, 2024 from https://www.classnk.or.jp/register/regships/regships.aspx.
  • EO Lifesaving. (2024). Lifeboat. on January 1, 2024 from https://www.eolifesaving.com/wp-content/uploads/2016/05/LB-TE-DC-JY-QFP-1180-spec.pdf
  • Eriksen, S., Utne, I. B., & Lützen, M. (2021). An RCM approach for assessing reliability challenges and maintenance needs of unmanned cargo ships. Reliability Engineering & System Safety, 210, 107550. https://doi.org/10.1016/j.ress.2021.107550
  • Furuno. (2024). Complete Operator’s Guide to Marine Radar. Retrieved on March 7, 2024 from https://www.furunousa.com/-/media/sites/furuno/reference_materials/furunoradarguide_lr.pdf.
  • Ghosh, S., & Rana, A. K. (2011). Comparative study of the factors that affect maintainability. International Journal on Computer Science and Engineering, 3(12), 3763.
  • Gullo, L. J., & Dixon, J. (2021). Maintainability Requirements and Design Criteria. Design for Maintainability, 79-96. https://doi.org/10.1002/9781119578536.ch5
  • Ivanovskaya, A. V., Klimenko, N. P., & Popov, V. V. (2022). Statistical analysis of fishing vessel deck equipment elements failures. Vestnik Gosudarstvennogo universiteta morskogo i rechnogo flota imeni admirala SO Makarova, 14, 440-448.
  • James, A. T. (2021). Reliability, availability and maintainability aspects of automobiles. Life Cycle Reliability and Safety Engineering, 10(1), 81-89. https://doi.org/10.1007/s41872-020-00130-3
  • Karahalios, H. (2018). The severity of shipboard communication failures in maritime emergencies: A risk management approach. International journal of disaster risk reduction, 28, 1-9.
  • Karatuğ, Ç., Arslanoğlu, Y., & Soares, C. G. (2023). Design of a decision support system to achieve condition-based maintenance in ship machinery systems. Ocean Engineering, 281, 114611. https://doi.org/10.1016/j.ijdrr.2018.02.015
  • Kimera, D., & Nangolo, F. N. (2022). Reliability maintenance aspects of deck machinery for ageing/aged fishing vessels. Journal of Marine Engineering & Technology, 21(2), 100-110. https://doi.org/10.1080/20464177.2019.1663595
  • Kuzu, A. C. (2023). Application of fuzzy DEMATEL approach in maritime transportation: A risk analysis of anchor loss. Ocean Engineering, 273, 113786. https://doi.org/10.1016/j.oceaneng.2023.113786
  • Marine Deck Crane. (2024). Marine Stiff Boom Crane. Retrieved on March 7, 2024 from https://www.marinedeckcrane.com/sale-37983491-marine-stiff-boom-crane-60-90-days-delivery-1-year-warranty-on-site-installation.html
  • Perera, L. P. (2018, June). Autonomous ship navigation under deep learning and the challenges in COLREGs. In International Conference on Offshore Mechanics and Arctic Engineering (Vol. 51333, p. V11BT12A005). American Society of Mechanical Engineers. https://doi.org/10.1115/OMAE2018-77672
  • Perera, L. P., Carvalho, J. P., & Soares, C. G. (2013). Solutions to the failures and limitations of Mamdani fuzzy inference in ship navigation. IEEE Transactions on Vehicular Technology, 63(4), 1539-1554. https://doi.org/10.1109/TVT.2013.2288306
  • Sayareh, J., & Ahouei, V. R. (2013). Failure mode and effects analysis (FMEA) for reducing the delays of cargo handling operations in marine bulk terminals. Journal of Maritime Research, 10(2), 43-50.
  • Simrad. (2024). Warranty Information. Retrieved on March 7, 2024 from https://www.navico-commercial.com/support/warranty-information/
  • Smith, D. J. (2021). Reliability, maintainability, and risk: practical methods for engineers. Butterworth-Heinemann.
  • SperryMarine (2022). Compass Solutions. Retrieved on March 7, 2024 from https://www.sperrymarine.com/system/files/downloads/8caf952b-fc8e-47ca-86eb-1a5b0ff87ae9/SperryMarine_Compass_Brochure_CompassSolutions.pdf
  • Stopford, M. (2008). Maritime economics 3e. Routledge.
  • Sürücü, L., & Maslakci, A. (2020). Validity and reliability in quantitative research. Business & Management Studies: An International Journal, 8(3), 2694-2726. https://doi.org/10.15295/bmij.v8i3.1540
  • Tortorella, M. (2015). Reliability, maintainability, and supportability: best practices for systems engineers. John Wiley & Sons.
  • Tsarouhas, P. (2020). Reliability, availability, and maintainability (RAM) study of an ice cream industry. Applied Sciences, 10(12), 4265. https://doi.org/10.3390/app10124265
  • United States Department of Agriculture. (2021). Bulk Vessel Types and Capacity. Retrieved on December 2, 2023, from https://agtransport.usda.gov/stories/s/Bulk-Vessel-Fleet-Size-and-Rates/bwaz-8sgs/.
  • Velásquez, R. M. A., & Lara, J. V. M. (2018). Reliability, availability and maintainability study for failure analysis in series capacitor bank. Engineering Failure Analysis, 86, 158-167. https://doi.org/10.1016/j.engfailanal.2018.01.008
  • Wärtsilä. (2024). Automatic radar plotting aids (ARPA). Retrieved on March 6, 2024, from https://www.wartsila.com/encyclopedia/term/automatic-radar-plotting-aids(arpa)#:~:text=Automatic%20radar%20plotting%20aids%20are,plotter%20or%20separate%20plotting%20aid.
  • Xiaoxia, W., & Chaohua, G. (2002). Electronic chart display and information system. Geo-spatial Information Science, 5(1), 7-11.
  • Yang, G. (2007). Life cycle reliability engineering. John Wiley & Sons.
  • Zacks, S. (2012). Introduction to reliability analysis: probability models and statistical methods. Springer Science & Business Media.
  • Zhang, Y., Jin, H., Jia, N., & Zou, A. (2013, August). Cascading failure evalution of ship fire-fighting system. In 2013 IEEE International Conference on Mechatronics and Automation (pp. 622-626). IEEE. https://doi.org/10.1109/ICMA.2013.6617988
  • Zhou, Q., & Thai, V. V. (2016). Fuzzy and grey theories in failure mode and effect analysis for tanker equipment failure prediction. Safety science, 83, 74-79. https://doi.org/10.1016/j.ssci.2015.11.013
There are 43 citations in total.

Details

Primary Language English
Subjects Marine Technology, Marine Main and Auxiliaries , Deck and Navigation Engineering
Journal Section Articles
Authors

Alper Seyhan 0000-0003-3707-6706

Murat Bayraktar 0000-0001-7252-4776

Onur Yüksel 0000-0002-5728-5866

Publication Date
Submission Date February 1, 2024
Acceptance Date March 19, 2024
Published in Issue Year 2024 Volume: 20 Issue: 1

Cite

APA Seyhan, A., Bayraktar, M., & Yüksel, O. (n.d.). THE RELIABILITY EVALUATION OF THE DECK MACHINERY AND GALLEY EQUIPMENT OF A BULK CARRIER BY UTILIZING THE FAILURE RECORDS. Journal of Naval Sciences and Engineering, 20(1), 43-65. https://doi.org/10.56850/jnse.1430191