• DocumentCode
    1674714
  • Title

    A business analysis methodology for integrated equipment health management in high value assets

  • Author

    Ip-Shing Fan ; Verma, R. ; Jennions, I. ; Dubicka, A.

  • Author_Institution
    Cranfield-IVHM Centre, Cranfield Univ., Cranfield, UK
  • fYear
    2011
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    The use of intelligent sensors and real-time data communication enables operations and maintenance decisions based on accurate condition monitoring of equipment and assets. This growing area of technology, increasingly known as Integrated Vehicle Health Management or IVHM, opens exciting opportunities to improve availability and avoid unnecessary maintenance. High and reliable availability of assets like aircrafts, trains and power plants are crucial to their operations effectiveness. However, the benefits of health management system to the asset operations need to be carefully justified. This paper presents a business analysis process to generate different health management options according to the asset operations, and a cost benefit tool that helps to evaluate the options. The process and tool were assimilated from industrial practice and is illustrated with an example of a naval dockyard.
  • Keywords
    asset management; condition monitoring; maintenance engineering; vehicles; IVHM; assets condition monitoring; business analysis methodology; equipment condition monitoring; high value assets; integrated equipment health management; integrated vehicle health management; intelligent sensors; maintenance decisions; naval dockyard; real-time data communication; Condition-based maintenance; Cost/Benefit Analysis; Failure Mode and Effect Analysis; IVHM; Integrated Vehicle Health Management; Maintenance; Quality Function Deployment; business analysis; equipment health management;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Asset Management Conference 2011, IET and IAM
  • Conference_Location
    London
  • Type

    conf

  • DOI
    10.1049/cp.2011.0572
  • Filename
    6178345