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    Estimating the reliability model parameters through a simulation of warranty claims: How much data is needed?

    Access Status
    Fulltext not available
    Authors
    Summit, Raymond
    Date
    2012
    Type
    Conference Paper
    
    Metadata
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    Citation
    Summit, 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.
    Source Title
    ANZIAM Journal
    Source Conference
    10th Biennial Engineering Mathematics and Applications Conference, EMAC2011
    Additional URLs
    http://journal.austms.org.au/ojs/index.php/ANZIAMJ/article/view/5114
    ISSN
    1446-1811
    School
    WASM Mining Engineering Teaching Area
    URI
    http://hdl.handle.net/20.500.11937/49634
    Collection
    • Curtin Research Publications
    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

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