The paper discusses some statistical aspects of warranty repair predictions in automotive industry. The existing Renewal Process approach to model a single component repairable system is reviewed, and its limitations in terms of applicable TTF distributions are discussed. The Superimposed Renewal Process approach to model a multi component repairable system is then considered and its limitations in terms of the error of the superimposed aggregation are pointed out. Finally, a Monte Carlo approach is presented and its advantages over the conventional methods are discussed.


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    Title :

    A Monte Carlo Approach to Warranty Repair Predictions


    Additional title:

    Sae Technical Papers


    Contributors:

    Conference:

    SAE Reliability, Maintainability, Supportability and Logistics Conference and Workshop ; 1997



    Publication date :

    1997-05-01




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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