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Sequential inspection sampling to avoid failure critical items being in an at risk condition

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  • A T Brint

    (University of Salford)

Abstract

The problem of how to extend the time interval of fixed time period maintenance for items whose failure can be catastrophic, is considered in this paper. The paper proposes a coherent methodology particularly applicable to switchgear used within electricity distribution networks. The methodology involves taking a sample of the items and, based on their observed conditions, deciding whether to (1) maintain; (2) defer maintenance; or (3) take another sample. Consideration of the precise problem to be solved leads to a Bayesian formulation. The predictive distribution is then used to determine the expected outcome of taking further observations. Results using simulated and real data are reported. This sequential sampling approach seems particularly appropriate for distribution networks where inspection costs can be relatively high.

Suggested Citation

  • A T Brint, 2000. "Sequential inspection sampling to avoid failure critical items being in an at risk condition," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 51(9), pages 1051-1059, September.
    • Handle: RePEc:pal:jorsoc:v:51:y:2000:i:9:d:10.1057_palgrave.jors.2601001
    DOI: 10.1057/palgrave.jors.2601001
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    Citations

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    Cited by:

    1. Duffuaa, S.O. & Khan, Mehmood, 2008. "A general repeat inspection plan for dependent multicharacteristic critical components," European Journal of Operational Research, Elsevier, vol. 191(2), pages 374-385, December.
    2. Cui, L. R. & Loh, H. T. & Xie, M., 2004. "Sequential inspection strategy for multiple systems under availability requirement," European Journal of Operational Research, Elsevier, vol. 155(1), pages 170-177, May.

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