An early warning system for vehicle related quality data

Authors:
Matthias Grabert;Markus Prechtel;Tomas Hrycej;Winfried Günther
Affiliations:
Research and Technology, DaimlerChrysler AG;Research and Technology, DaimlerChrysler AG;Research and Technology, DaimlerChrysler AG;Global Services and Parts, DaimlerChrysler AG
Venue:
ICDM'04 Proceedings of the 4th international conference on Advances in Data Mining: applications in Image Mining, Medicine and Biotechnology, Management and Environmental Control, and Telecommunications
Year:
2004

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Abstract

Vehicle production audit tests, warranty claims and car control unit data are stored in a central data warehouse for data mining analysis. Neural network based part failure rate estimations, adjusted for mileage and seasonality, are used for monitoring warranty claims. Association and sequence analysis connect production audit data, car control unit data and warranty claims for an early detection of quality changes both in production state and car field usage. Calculations are performed via grid computing.