Determination of a maintenance strategy for machinery systems of autonomous ships

Çağlar Karatuğ, Yasin Arslanoğlu, C. Guedes Soares*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)


This paper proposes a hybrid multi-criteria decision-making approach to determine the best maintenance strategy for the machinery systems in autonomous ships of different levels of autonomy. The proposed methodology includes the Analytic Hierarchy Process to identify criteria weighting and the Technique for Order of Preference by Similarity to Ideal Solution to determine the best maintenance alternative. A sensitivity analysis is conducted to determine the impact of criterion weighting on the calculated rank scores and to reveal the criticality of the criteria. The study presents and considers various hybrid maintenance strategies for autonomous ship concepts as possible maintenance alternatives. The selection of the maintenance policy that combines condition-based and time-based approaches for 3rd and 4th levels of ship autonomy, as the best maintenance alternative, demonstrates the basic idea of the study. In addition, the key findings of the paper ensure crucial insights to the maritime industry in the decision-making process on the maintenance strategy that can be adapted to different types of autonomous ship concepts.

Original languageEnglish
Article number113013
JournalOcean Engineering
Publication statusPublished - 15 Dec 2022

Bibliographical note

Publisher Copyright:
© 2022 The Authors


This work was supported by The Scientific and Technological Research Council of Turkey BIDEB 2214-A International Doctoral Research Fellowship Programme (Grant no: 1059B142100431 ) and the Research Fund of the Istanbul Technical University (Project No: 43048 ). This work contributes to the Strategic Research Plan of the Centre for Marine Technology and Ocean Engineering (CENTEC), which is financed by the Portuguese Foundation for Science and Technology (Fundação para a Ciência e Tecnologia - FCT) under contract UIDB/UIDP/00134/2020 . In addition, the authors declare that they have no known competing financial interests.

FundersFunder number
Centre for Marine Technology and Ocean Engineering
Fundação para a Ciência e a TecnologiaUIDB/UIDP/00134/2020
Türkiye Bilimsel ve Teknolojik Araştırma Kurumu1059B142100431
Istanbul Teknik Üniversitesi43048


    • AHP
    • MASS
    • Maintenance
    • Ship machinery system
    • TOPSIS


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