Selection of the best maintenance approach in the maritime industry under fuzzy multiple attributive group decision-making environment
Lazakis, Iraklis and Ölçer, Aykut (2015) Selection of the best maintenance approach in the maritime industry under fuzzy multiple attributive group decision-making environment. Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment. pp. 1-13. ISSN 1475-0902 (https://doi.org/10.1177/1475090215569819)
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Abstract
Many maintenance approaches have been developed and applied successfully in a variety of sectors such as aviation and nuclear industries over the years. Some of those have also been employed in the maritime industry such as condition based maintenance; however, choosing the best maintenance approach has always been a big challenge due to the involvement of many attributes and alternatives which can also be associated with multiple experts and vague information. In order to accommodate these aspects, and as part of an overall novel Reliability and Criticality Based Maintenance strategy, an existing fuzzy multiple attributive group decision-making technique is employed in this study, which is further enhanced with the use of Analytical Hierarchy Process to obtain a better weighting of the maintenance attributes used. The fuzzy multiple attributive group decision-making technique has three distinctive stages, namely rating, aggregation and selection in which multiple experts’ subjective judgments are processed and aggregated to be able to arrive at a ranking for a finite number of maintenance options. To demonstrate the applicability in a real-life industrial context, the technique is exemplified by selecting the best maintenance approach for shipboard equipment such as the diesel generator system of a vessel. The results denote that preventive maintenance is the best approach closely followed by predictive maintenance, thus steering away from the ship corrective maintenance framework and increasing overall ship system reliability and availability.
ORCID iDs
Lazakis, Iraklis ORCID: https://orcid.org/0000-0002-6130-9410 and Ölçer, Aykut;-
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Item type: Article ID code: 54072 Dates: DateEvent2015Published16 February 2015Published Online30 December 2014AcceptedNotes: (c) Sage Subjects: Naval Science > Naval architecture. Shipbuilding. Marine engineering Department: Faculty of Engineering > Naval Architecture, Ocean & Marine Engineering Depositing user: Pure Administrator Date deposited: 25 Aug 2015 15:37 Last modified: 28 Nov 2024 01:10 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/54072