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dc.contributor.authorSummit, Raymond
dc.contributor.editorMark Ian Nelson
dc.contributor.editorAnthony John Roberts
dc.contributor.editorMary Coupland
dc.contributor.editorTara Julia Hamilton
dc.contributor.editorHarvinder Singh Sidhu
dc.date.accessioned2017-03-15T22:06:24Z
dc.date.available2017-03-15T22:06:24Z
dc.date.created2017-02-24T00:09:39Z
dc.date.issued2012
dc.identifier.citationSummit, R. 2012. Modelling component reliability using warranty data, in Nelson, M. and Roberts, A. and Coupland, M. et al (ed), 10th Biennial Engineering Mathematics and Applications Conference, EMAC2011, Dec 4 2011, pp. C451-C464. Sydney: Cambridge University Press.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/49634
dc.description.abstract

Manufactured goods are put through a quality control process that ensures an acceptable reliability level before being released to the public. However, manufacturing processes can change over time, which may affect the quality of a product. Warranty claims provide an opportunity to obtain feedback on the manufacturing process. In this study, a Weibull failure model is used to simulate the occurrence of warranty claims. The parameters of the Weibull model used to generate the data are estimated from the simulated warranty claims. The length of time required to obtain accurate parameter estimates is examined. This study is based on claims arising from the failure of a single component, but the techniques can also be used for a simple product or a subsystem of a more complex product that can be suitably modelled by a Weibull distribution. Our study shows that at least two years of data are required to obtain acceptable estimates of the Weibull parameters

dc.publisherCambridge University Press
dc.relation.urihttp://journal.austms.org.au/ojs/index.php/ANZIAMJ/article/view/5114
dc.subjectreliability modelling
dc.subjectWeibull parameter estimation
dc.subjectsimulation
dc.titleEstimating the reliability model parameters through a simulation of warranty claims: How much data is needed?
dc.typeConference Paper
dcterms.source.volume53
dcterms.source.startPageC451
dcterms.source.endPageC464
dcterms.source.issn1446-1811
dcterms.source.titleANZIAM Journal
dcterms.source.seriesANZIAM Journal
dcterms.source.conference10th Biennial Engineering Mathematics and Applications Conference, EMAC2011
dcterms.source.conference-start-dateDec 4 2011
dcterms.source.conferencelocationUniversity Technology Sydney, Sydney
dcterms.source.placeUnited Kingdom
curtin.departmentWASM Mining Engineering Teaching Area
curtin.accessStatusFulltext not available


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