Determination of a maintenance strategy for machinery systems of autonomous ships. (15th December 2022)
- Record Type:
- Journal Article
- Title:
- Determination of a maintenance strategy for machinery systems of autonomous ships. (15th December 2022)
- Main Title:
- Determination of a maintenance strategy for machinery systems of autonomous ships
- Authors:
- Karatuğ, Çağlar
Arslanoğlu, Yasin
Guedes Soares, C. - Abstract:
- Abstract: 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. Highlights: A multi-criteria decision-making approach is used to determine the maintenance for the machinery systems in autonomous ships. The methodology includes the AHP to identify criteria weighting and the TOPSIS to determine the best maintenance alternative. A sensitivity analysis is conducted to determine the impact of criterion weightingAbstract: 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. Highlights: A multi-criteria decision-making approach is used to determine the maintenance for the machinery systems in autonomous ships. The methodology includes the AHP to identify criteria weighting and the TOPSIS to determine the best maintenance alternative. A sensitivity analysis is conducted to determine the impact of criterion weighting on the calculated rank scores. The policy that combines condition-based and time-based approaches for 3rd and 4th levels of ship autonomy, was chosen. The findings of the paper ensure crucial insights on the maintenance strategy to be adapted to different levels of autonomy. … (more)
- Is Part Of:
- Ocean engineering. Volume 266(2022) Part 3
- Journal:
- Ocean engineering
- Issue:
- Volume 266(2022) Part 3
- Issue Display:
- Volume 266, Issue 3, Part 3 (2022)
- Year:
- 2022
- Volume:
- 266
- Issue:
- 3
- Part:
- 3
- Issue Sort Value:
- 2022-0266-0003-0003
- Page Start:
- Page End:
- Publication Date:
- 2022-12-15
- Subjects:
- Maintenance -- Ship machinery system -- MASS -- AHP -- TOPSIS
Ocean engineering -- Periodicals
Ocean engineering
Periodicals
620.4162 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00298018 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.oceaneng.2022.113013 ↗
- Languages:
- English
- ISSNs:
- 0029-8018
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6231.280000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 24691.xml