eprintid: 20114
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/02/01/14
datestamp: 2024-06-04 14:19:51
lastmod: 2024-06-04 14:19:51
status_changed: 2024-06-04 14:16:37
type: article
metadata_visibility: show
creators_name: Mohd Adha, M.E.
creators_name: Masdi, M.
creators_name: Hilmi, H.
title: Prescriptive Analytics for Dynamic Risk-Based Naval Vessel Maintenance Decision-Making
ispublished: pub
keywords: Decision making; Risk assessment; Warships, Dynamic risk assessments; Function systems; Function-system hierarchical structure; Hierarchical structures; Maintenance decision making; Maintenance scheduling; Naval vessel maintenance; Prescriptive analytic; Risk-based maintenance scheduling; Risk-based maintenances, Preventive maintenance
note: cited By 0; Conference of International Conference on Renewable Energy and E-mobility, ICREEM 2022 ; Conference Date: 1 December 2022 Through 2 December 2022; Conference Code:309409
abstract: Prescriptive analytics is a novel maintenance approach by recommending the maintainer, the right maintenance action at the right time through prioritization of maintenance based on the dynamic risk assessment. It assists in improving the existing preventive maintenance approach by offering a dynamic maintenance plan based on risk or risk-based maintenance scheduling. To date, there is no clear definition of risk-based maintenance as well as its framework, and its application has not been applied extensively in naval domain, which is peculiar due to its function-system relationship compared to the plant maintenance. This paper applies risk-based maintenance decision-making framework in naval domain using prescriptive analytics for optimal maintenance scheduling to improve asset availability and reduce maintenance costs while meeting stakeholders� expectations. Objectives and considerations in the case study are also defined for peculiarities application of naval vessels. The novel dynamic risk-based maintenance methodology also aims to improve the effectiveness of the current preventive maintenance practice and the inconsistency issue of the existing maintenance decision-making model using the expert judgment in reliability-centered maintenance. © Institute of Technology PETRONAS Sdn Bhd (Universiti Teknologi PETRONAS) 2024.
date: 2024
publisher: Springer Science and Business Media Deutschland GmbH
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188664675&doi=10.1007%2f978-981-99-5946-4_28&partnerID=40&md5=4f54661b10ed22600fb0d1a44f292d58
id_number: 10.1007/978-981-99-5946-4₂₈
full_text_status: none
publication: Lecture Notes in Mechanical Engineering
pagerange: 345-359
refereed: TRUE
isbn: 9789819959457
issn: 21954356
citation:   Mohd Adha, M.E. and Masdi, M. and Hilmi, H.  (2024) Prescriptive Analytics for Dynamic Risk-Based Naval Vessel Maintenance Decision-Making.  Lecture Notes in Mechanical Engineering.  pp. 345-359.  ISSN 21954356