Estimating the reliability model parameters through a simulation of warranty claims: How much data is needed?
MetadataShow full item record
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
Showing items related by title, author, creator and subject.
Summit, Raymond (2012)Accelerated testing is often used to gauge the reliability of a product before it is released to the market. Warranty data provide valuable additional information about the reliability of a product and its constituent ...
Chong, Yen N. (2001)General routing problems deal with transporting some commodities and/or travelling along the axes of a given network in some optimal manner. In the modern world such problems arise in several contexts such as distribution ...
Sithole, Moses M. (1997)This thesis is mainly concerned with the estimation of parameters in autoregressive models with censored data. For convenience, attention is restricted to the first-order stationary autoregressive (AR(1)) model in which ...