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

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dc.contributor.author Wu, Shaomin -
dc.contributor.author Wang, W. -
dc.date.accessioned 2011-09-29T16:54:11Z
dc.date.available 2011-09-29T16:54:11Z
dc.date.issued 2011-08-01T00:00:00Z -
dc.identifier.issn 0096-3003 -
dc.identifier.uri http://dx.doi.org/10.1016/j.amc.2011.04.075 -
dc.identifier.uri http://dspace.lib.cranfield.ac.uk/handle/1826/5732
dc.description.abstract This paper presents the formulations of the expected long-run cost per time unit for a system monitored by a static control chart and by an adaptive control chart respectively. The static chart has a fixed sampling interval and a fixed sample size. The adaptive chart has a fixed sample size but variable sampling intervals. The system is supposed to have three states, normal working state, failure delay time state, and failed state. Two levels of repair are used to maintain the system. A minor repair is used to restore the system if a detectable defect is confirmed by an inspection. A major repair will be performed if the system fails. The expected cost per time unit for maintaining such a system is obtained. The objective of such analysis is to find an optimal sampling policy for the inspection process. An artificially generated data example and a real data example are used to compare the expected cost per time unit for both the static and adaptive control charts. en_UK
dc.language.iso en_UK -
dc.publisher Elsevier Science B.V., Amsterdam. en_UK
dc.title Optimal inspection policy for three-state systems monitored by control charts en_UK
dc.type Article -

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