A RAM extension to enhance ship planned maintenance system

Samet Bicen; Metin Celik

doi:10.1080/18366503.2022.2075575

A RAM extension to enhance ship planned maintenance system

Samet Bicen^*, Metin Celik

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

5 Citations (Scopus)

Abstract

This study develops a knowledge-based planned maintenance system (PMS) supported by reliability, availability and maintainability (RAM) analysis. The system enables maintenance plan revisions based on the data analysis which calculates instant RAM values and predicts the future trends. The visualised data is monitored to support decisions at both the operational and management level. The proposed system is demonstrated with the periodical data of the main engine installed onboard a container ship. Particularly, the data visualization is conducted on fuel injection valves. The results illustrate that the enhanced PMS system adds value to the timely and effective planning of routine and non-routine maintenance tasks onboard ships. Considering the existing potential of PMS applications onboard ships, the RAM analysis provides reasonable contributions to ship engine room crew and technical managers. The further study focuses on developing a maintenance planning app to digitalise the process and to strengthen compliance with ISM Code Clause 10 and TMSA 4A.4 requirements.

Original language	English
Pages (from-to)	357-376
Number of pages	20
Journal	Australian Journal of Maritime and Ocean Affairs
Volume	15
Issue number	3
DOIs	https://doi.org/10.1080/18366503.2022.2075575
Publication status	Published - 2023

Bibliographical note

Publisher Copyright:
© 2022 Informa UK Limited, trading as Taylor & Francis Group.

Funding

This article is produced from Master of Science Thesis entitled ‘Proposing a Reliability Availability Maintainability (RAM) Analysis in Shipboard Machinery Systems' which is executed in the Maritime Transportation Engineering Programme of Istanbul Technical University Graduate School of Science, Engineering and Technology. The authors would like to express gratitude to the Thesis Examining Committee for their constructive comments.

Funders	Funder number
Istanbul Technical University Graduate School of Science, Engineering and Technology

Keywords

RAM analysis
availability
maintainability
reliability
ship maintenance planning

Access to Document

10.1080/18366503.2022.2075575

Cite this

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AB - This study develops a knowledge-based planned maintenance system (PMS) supported by reliability, availability and maintainability (RAM) analysis. The system enables maintenance plan revisions based on the data analysis which calculates instant RAM values and predicts the future trends. The visualised data is monitored to support decisions at both the operational and management level. The proposed system is demonstrated with the periodical data of the main engine installed onboard a container ship. Particularly, the data visualization is conducted on fuel injection valves. The results illustrate that the enhanced PMS system adds value to the timely and effective planning of routine and non-routine maintenance tasks onboard ships. Considering the existing potential of PMS applications onboard ships, the RAM analysis provides reasonable contributions to ship engine room crew and technical managers. The further study focuses on developing a maintenance planning app to digitalise the process and to strengthen compliance with ISM Code Clause 10 and TMSA 4A.4 requirements.

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A RAM extension to enhance ship planned maintenance system

Abstract

Bibliographical note

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Keywords

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