Optimal inspection policy for three-state systems monitored by variable sample size control charts

dc.contributor.authorWu, Shaomin-
dc.date.accessioned2012-02-22T23:01:45Z
dc.date.available2012-02-22T23:01:45Z
dc.date.issued2011-07-01T00:00:00Z-
dc.description.abstractThis paper presents the expected long-run cost per unit time for a system monitored by an adaptive control chart with variable sample sizes: if the control chart signals that the system is out of control, the sampling which follows will be conducted with a larger sample size. The system is supposed to have three states: in-control, out-of-control, and failed. Two levels of repair are applied to maintain the system. A minor repair will be conducted if an assignable cause is confirmed by an inspection, and a major repair will be performed if the system fails. Both the minor and major repairs are assumed to be perfect. We derive the expected long-run cost per unit time, which can be used to obtain the optimal inspection policy. Numerical examples are conducted to validate the derived cost.en_UK
dc.identifier.citationS. Wu. Optimal inspection policy for three-state systems monitored by variable sample size control charts. International Journal of Advanced Manufacturing Technology, Volume 55, Issue 5-8, pp689-697.
dc.identifier.issn0268-3768-
dc.identifier.urihttp://dx.doi.org/10.1007/s00170-010-3091-7-
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/6463
dc.language.isoen_UK-
dc.publisherSpringer Science Business Mediaen_UK
dc.titleOptimal inspection policy for three-state systems monitored by variable sample size control chartsen_UK
dc.typeArticle-

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