A risk assessment of scrubber use for marine transport by rule-based fuzzy FMEA

Çağlar Karatuğ*, Bulut Ozan Ceylan, Yasin Arslanoğlu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

To comply with the International Maritime Organization’s sulfur regulations, shipping companies have mainly favored scrubber systems. Even though the ship’s operations might be continued provided regulatory constraints are followed, the installation presents system-based risks depending on the scrubber type. This study’s primary aim is to inform the shipping industry about the risks associated with various scrubber applications on ships and to propose guidelines to ensure safer scrubber operation on marine vessels. Consequently, a risk evaluation is conducted on all kinds of scrubber systems. Experts in the marine industry identify the main subsystems and components and evaluate their failure modes and consequences. Using the fuzzy failure modes and effects analysis method, the acquired judgments are analyzed. The risk value of each failure scenario is computed using the Mamdani fuzzy inference technique and the evaluation of expert ratings. The riskiest failure modes identified by the investigation include the sensing element, injection nozzles, packed peds, and seawater system valves.

Original languageEnglish
Pages (from-to)114-125
Number of pages12
JournalProceedings of the Institution of Mechanical Engineers Part M: Journal of Engineering for the Maritime Environment
Volume238
Issue number1
DOIs
Publication statusPublished - Feb 2024

Bibliographical note

Publisher Copyright:
© IMechE 2023.

Funding

The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by The Scientific and Technological Research Council of Turkey BIDEB 2214-A International Doctoral Research Fellowship Program (Grant no. 1059B142100431) and the Research Fund of the Istanbul Technical University (Project No. 43048).

FundersFunder number
Türkiye Bilimsel ve Teknolojik Araştırma Kurumu1059B142100431
Istanbul Teknik Üniversitesi43048

    Keywords

    • FMEA
    • Ship
    • fuzzy sets
    • risk assessment
    • scrubber

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