Abstract
An accurate product reliability prediction model can not only predict and track the product's reliability and operational performance, but also offer useful information for managers to take follow-up actions to improve the product quality and cost. The time series decomposition approach is widely used for prediction, but is not used for reliability prediction. This study proposes a new method for predicting the reliability of repairable products. The novel method constructs a predictive model by employing the time series decomposition approach. Finally, one real case study is presented to illustrate the feasibility of the proposed method.
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