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 Risk-based Maintenance as well as its framework, and it has not been applied extensively in naval vessel maintenance application which is unusual compared to 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 stakeholders’ 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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A Comprehensive Review of Prescriptive Analytics for Naval Vessels Risk-Based Maintenance Decision-Making


    Additional title:

    Lect.Notes Mechanical Engineering



    Published in:

    ICPER 2020 ; Chapter : 39 ; 503-515


    Publication date :

    2022-10-04


    Size :

    13 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    Prescriptive Analytics for Dynamic Risk-Based Naval Vessel Maintenance Decision-Making

    Mohd Adha, Mat Esa / Masdi, Muhammad / Hilmi, Husin | Springer Verlag | 2024


    Prescriptive Maintenance of Railway Infrastructure: From Data Analytics to Decision Support

    Consilvio, Alice / Sanetti, Paolo / Anguita, Davide et al. | IEEE | 2019


    FOR-DEC: a prescriptive model for aeronautical decision making

    Hoermann, H.-J. / European Association for Aviation Psychology | British Library Conference Proceedings | 1995


    FOR-DEC: a prescriptive model for aeronautical decision making

    Hoermann, H.-J. / European Association for Aviation Psychology | British Library Conference Proceedings | 1995


    Optimal Maintenance of Naval Vessels Considering Service Life Uncertainty

    Liu, Yan / Frangopol, Dan M. | British Library Conference Proceedings | 2018