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Development of a new reliability prediction model for predicting the reliability of repairable products

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  • Yi-Hui Liang

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.

Suggested Citation

  • Yi-Hui Liang, 2009. "Development of a new reliability prediction model for predicting the reliability of repairable products," International Journal of Product Development, Inderscience Enterprises Ltd, vol. 7(3/4), pages 218-230.
    • Handle: RePEc:ids:ijpdev:v:7:y:2009:i:3/4:p:218-230
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    Cited by:

    1. Navneet Singh Bhangu & G. L. Pahuja & Rupinder Singh, 2017. "Enhancing reliability of thermal power plant by implementing RCM policy and developing reliability prediction model: a case study," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(2), pages 1923-1936, November.

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