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    An uncertain programming model for preventive maintenance scheduling

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    Date
    2017
    Author
    Maleki, Hamed;
    Yang, Yingjie
    Metadata
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    Abstract
    Purpose: This study aims to illustrate an uncertain programming model for scheduling of preventive maintenance actions. The PM scheduling, in which PM actions are performed under fixed intervals, is solved by Grey systems theory. Design/methodology/approach: The paper applied the grey evaluation method based on triangular whitenization weight functions which includes two classes (1) endpoint evaluation method (2) center-point evaluation method. Findings: Two methods give the same results based on endpoint and center-point triangular whitenization weight functions. For validation, the results were compared by Cassady’s method. Originality/value: The scheduling of preventive maintenance is crucial in reliability and maintenance engineering. Hundreds of parts compose complex machines that require replacement and/or repairing. It is helpful to reduce the outage loss on frequent repair/replacement parts and avoid lack of maintenance of the equipment by controlling the equipment maintenance frequency.
    Description
    The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link
    Citation : Maleki, H. and Yang, Y. (2017) An uncertain programming model for preventive maintenance scheduling. Grey Systems: Theory and Application, 7(1), pp.111-122.
    URI
    http://hdl.handle.net/2086/15099
    DOI
    https://doi.org/10.1108/GS-07-2016-0015
    ISSN : 2043-9377
    Research Group : Centre for Computational Intelligence
    Research Institute : Institute of Artificial Intelligence (IAI)
    Peer Reviewed : Yes
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    • School of Computer Science and Informatics [2979]

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