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<p>Diesel engines are extensively used in over 33,052 fishing vessels in Indonesia due to their reliable performance under various operational conditions and lower costs to maintain engine reliability. However, continuous performance monitoring is essential due to the high operational hours of diesel engines in fishing vessels. The objective of this study is to evaluate the failure risk and criticality levels of fuel system components in the main engines of fishing vessels using a Fuzzy Logic approach. This hybrid evaluation includes assessing the risk and criticality levels of fuel system components in fishing vessel engines using Failure Mode and Effects Analysis (FMEA), Failure Mode, Effects, and Criticality Analysis (FMECA), Fuzzy-FMEA, and Fuzzy-FMECA. The components with the highest Risk Priority Number (RPN) analyzed using FMEA were the fuel tank (C1) with a value of 238.8. The components with the highest Criticality Number (CN) analyzed using FMECA were the fuel tank (C1) with a value of 11.12. The components with the highest Fuzzy Risk Priority Number (FRPN) analyzed using Fuzzy-FMEA were the daily tank (C3) with a value of 763.95. The components with the highest Fuzzy Criticality Number (FCN) analyzed using Fuzzy-FMECA were the daily tank (C3) with a value of 14.61. The shift in prioritization suggests that the fuzzy-based approach provides a different perspective by integrating rule-based expert judgments, which may capture operational nuances not fully reflected in traditional linear calculations. For ship engineers, these results imply that the daily tank requires closer monitoring due to its higher sensitivity in fuzzy-based risk assessment. This approach enhances the understanding of critical and high-risk components, which is crucial for prioritizing maintenance activities.</p>

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A hybrid failure mode effect analysis and criticality model using fuzzy logic for evaluating fuel system risks in fishing vessel engines

  • 期刊论文

  • 发表日期：

    2026年7月17日

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  • Marsono Marsono,
  • Ade Hermawan,
  • Yuniar Endri Priharanto

摘要

Diesel engines are extensively used in over 33,052 fishing vessels in Indonesia due to their reliable performance under various operational conditions and lower costs to maintain engine reliability. However, continuous performance monitoring is essential due to the high operational hours of diesel engines in fishing vessels. The objective of this study is to evaluate the failure risk and criticality levels of fuel system components in the main engines of fishing vessels using a Fuzzy Logic approach. This hybrid evaluation includes assessing the risk and criticality levels of fuel system components in fishing vessel engines using Failure Mode and Effects Analysis (FMEA), Failure Mode, Effects, and Criticality Analysis (FMECA), Fuzzy-FMEA, and Fuzzy-FMECA. The components with the highest Risk Priority Number (RPN) analyzed using FMEA were the fuel tank (C1) with a value of 238.8. The components with the highest Criticality Number (CN) analyzed using FMECA were the fuel tank (C1) with a value of 11.12. The components with the highest Fuzzy Risk Priority Number (FRPN) analyzed using Fuzzy-FMEA were the daily tank (C3) with a value of 763.95. The components with the highest Fuzzy Criticality Number (FCN) analyzed using Fuzzy-FMECA were the daily tank (C3) with a value of 14.61. The shift in prioritization suggests that the fuzzy-based approach provides a different perspective by integrating rule-based expert judgments, which may capture operational nuances not fully reflected in traditional linear calculations. For ship engineers, these results imply that the daily tank requires closer monitoring due to its higher sensitivity in fuzzy-based risk assessment. This approach enhances the understanding of critical and high-risk components, which is crucial for prioritizing maintenance activities.