Application of Fuzzy Methodologies in Navy Systems Maintenance

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


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.

Original languageEnglish
Title of host publicationQuality Innovation and Sustainability
Subtitle of host publication3rd ICQIS, Aveiro University, Portugal, May 3-4, 2022
EditorsJoão Carlos de Oliveira Matias, Carina Maria Oliveira Pimentel, João Carlos Gonçalves dos Reis, Joana Maria Costa Martins das Dores, Gilberto Santos
Place of PublicationCham
Number of pages11
ISBN (Electronic)978-3-031-12914-8
ISBN (Print)978-3-031-12913-1
Publication statusPublished - 17 Jan 2023
Event3rd International Conference on Quality Innovation and Sustainability, ICQIS 2022 - Aveiro, Portugal
Duration: 3 May 20224 May 2022

Publication series

NameSpringer Proceedings in Business and Economics
ISSN (Print)2198-7246
ISSN (Electronic)2198-7254


Conference3rd International Conference on Quality Innovation and Sustainability, ICQIS 2022


  • Equipment
  • Fuzzy
  • Maintenance
  • Risk
  • Ship


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