TY  - JOUR
AV  - none
N1  - cited By 2
N2  - 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 risk. 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 Naval Vessels Risk-based Maintenance as well as its framework, and it has not been applied extensively in naval vessel maintenance application which is peculiar compared to its application in plant maintenance. This paper reviews Risk-based Maintenance application in industries in an approach to develop prescriptive analytics for a comprehensive and dynamic naval vessels Risk-based Maintenance decision-making framework. It aims to establish an optimal maintenance scheduling to improve naval vessels availability and reduce maintenance costs while meeting stakeholdersâ?? expectations. Objectives and considerations are also defined for peculiarities application of naval vessels. The framework is then evaluated to improve the effectiveness of the current Preventive Maintenance practice and the inconsistency of the existing maintenance decision-making model using the expert judgement in Reliability Centered Maintenance. © 2023 Elsevier Ltd
KW  - Decision making; Naval vessels; Scheduled maintenance
KW  -  Conceptual frameworks; Dynamic maintenances; Maintenance Action; Maintenance approaches; Maintenance decision making; Maintenance scheduling; Naval maintenance; Prescriptive analytic; Prioritization; Risk-based maintenances
KW  -  Preventive maintenance
KW  -  conceptual framework; decision making; maintenance; technology adoption; vessel
TI  - Adoption of prescriptive analytics for naval vessels risk-based maintenance:A conceptual framework
ID  - scholars18467
Y1  - 2023///
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152462828&doi=10.1016%2fj.oceaneng.2023.114409&partnerID=40&md5=3d34018dd6268d5d4adc5c3ecba8ddba
JF  - Ocean Engineering
A1  - Mat Esa, M.A.
A1  - Muhammad, M.
VL  - 278
ER  -