Application of Fuzzy Methodologies in Navy Systems Maintenance

Suzana Lampreia, Teresa Morgado (), Helena Navas and Inês Mestre
Additional contact information
Suzana Lampreia: CINAV-Escola Naval/Naval Research Centre – Portuguese Naval Academy
Teresa Morgado: CINAV-Escola Naval/Naval Research Centre – Portuguese Naval Academy
Helena Navas: NOVA School of Science and Technology, Universidade NOVA de Lisboa
Inês Mestre: NOVA School of Science and Technology, Universidade NOVA de Lisboa

A chapter in Quality Innovation and Sustainability, 2023, pp 409-419 from Springer

Abstract: Abstract In an environment of scarce resources, enhancing the ship’s performance by minimizing equipment intervention actions and maintaining safety standards is an actual challenge. Ships, not yet autonomous, are maritime means that transport personnel and systems. Their good condition is a permit for the safety of personnel and material, avoiding damage to the ship itself and possible occurrences of pollution at sea or damage to other systems – seafarers and people outside the east. Companies, organizations, and the scientific community with an interest in ​​ship maintenance management have been developing advanced systems for monitoring ship equipment; to prevent malfunctions and have on-site knowledge of the state of the equipment. These systems use condition control techniques and data processing through algorithms, statistical systems, and other methodologies. The methodology that will be developed and applied in this investigation is Fuzzy. The equipment chosen for the case study is a fire pump from an ocean patrol vessel, which is a vital equipment on board, and which is part of the equipment selected by the Technical Management of the Organization understudy to monitor operating hours and operational status.

Keywords: Fuzzy; Maintenance; Risk; Ship; Equipment (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-031-12914-8_31

Ordering information: This item can be ordered from
http://www.springer.com/9783031129148

DOI: 10.1007/978-3-031-12914-8_31

Access Statistics for this chapter

More chapters in Springer Proceedings in Business and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().