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    A Fuzzy Criticality Assessment System of Process Equipment for Optimized Maintenance Management.

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    DET 2011_IJCIM-SI-Manuscript-final draft.pdf (757.7Kb)
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    Publication date
    2015-01
    Author
    Qi, Hong Sheng
    Alzaabi, R.N.
    Wood, Alastair S.
    Jani, M.
    Keyword
    Maintenance Management; Equipment criticality assessment; Maintenance management; Fuzzy system; Group decision-making
    Rights
    © 2015 Taylor and Francis. Reproduced in accordance with the publisher's self-archiving policy. This is an Author's Original Manuscript of an article published by Taylor & Francis in the International Journal of Computer Integrated Manufacturing, Jan 2015, available online at http://dx.doi.org/10.1080/0951192X.2013.814160
    Peer-Reviewed
    yes
    
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    Abstract
    In modern chemical plants, it is essential to establish an effective maintenance strategy which will deliver financially driven results at optimised conditions, that is, minimum cost and time, by means of a criticality review of equipment in maintenance. In this article, a fuzzy logic-based criticality assessment system (FCAS) for the management of a local company’s equipment maintenance is introduced. This fuzzy system is shown to improve the conventional crisp criticality assessment system (CCAS). Results from case studies show that not only can the fuzzy logic-based system do what the conventional crisp system does but also it can output more criticality classifications with an improved reliability and a greater number of different ratings that account for fuzziness and individual voice of the decision-makers.
    URI
    http://hdl.handle.net/10454/7922
    Version
    Accepted Manuscript
    Citation
    Qi HS, Alzaabi RN, Wood AS and Jani M (2015) A Fuzzy Criticality Assessment System of Process Equipment for Optimized Maintenance Management. International Journal of Computer Integrated Manufacturing (IJCIM), 28 (1): 112-125.
    Link to publisher’s version
    http://dx.doi.org/10.1080/0951192X.2013.814160
    Type
    Article
    Collections
    Engineering and Informatics Publications

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