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    Selective maintenance for multi-state series-parallel systems under economic dependence

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    Publication date
    2014-01
    Author
    Dao, Cuong D.
    Zuo, M.J.
    Pandey, M.
    Keyword
    Economic dependence
    Maintenance time
    Multi-state
    Multiple repairs
    Reliability
    Selective maintenance
    Series-parallel system
    Peer-Reviewed
    Yes
    
    Metadata
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    Abstract
    This paper presents a study on selective maintenance for multi-state series-parallel systems with economically dependent components. In the selective maintenance problem, the maintenance manager has to decide which components should receive maintenance activities within a finite break between missions. All the system reliabilities in the next operating mission, the available budget and the maintenance time for each component from its current state to a higher state are taken into account in the optimization models. In addition, the components in series-parallel systems are considered to be economically dependent. Time and cost savings will be achieved when several components are simultaneously repaired in a selective maintenance strategy. As the number of repaired components increases, the saved time and cost will also increase due to the share of setting up between components and another additional reduction amount resulting from the repair of multiple identical components. Different optimization models are derived to find the best maintenance strategy for multi-state series-parallel systems. A genetic algorithm is used to solve the optimization models. The decision makers may select different components to be repaired to different working states based on the maintenance objective, resource availabilities and how dependent the repair time and cost of each component are. © 2013 Elsevier Ltd. All rights reserved.
    URI
    http://hdl.handle.net/10454/17981
    Version
    Accepted manuscript
    Citation
    Dao CD, Zuo MJ and Pandey M (2014) Selective maintenance for multi-state series-parallel systems under economic dependence. Reliability Engineering and System Safety. 121: 240-249.
    Link to publisher’s version
    http://dx.doi.org/10.1016/j.ress.2013.09.003
    Type
    Article
    Collections
    Engineering and Informatics Publications

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