Corpus ID: 212611445

Identifying Durability Failure Parts using 24 Months-In-Service Data : A Case-Based Empirical Study from an Automobile Manufacturer in India

@inproceedings{Kumar2019IdentifyingDF,
  title={Identifying Durability Failure Parts using 24 Months-In-Service Data : A Case-Based Empirical Study from an Automobile Manufacturer in India},
  author={N. Kumar and M. Pratap},
  year={2019}
}
  • N. Kumar, M. Pratap
  • Published 2019
  • This paper analyses the warranty claims data to identify faulty parts contributing to increasing failure using Weibull Analysis, in the automobile industry. Unlike studies in the past, this study uses 24 month service data to investigate the cause of failure due to faulty parts.Usually, the forecasting of the part failure is done for the 3 months in service (MIS) data and the automobile manufacturers use this parameter to set Key Performance Indicators (KPI) for quality improvement among design… CONTINUE READING

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