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Early identification of manufacturing process influences on product failure behaviour based on small field data volume

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Enabling Manufacturing Competitiveness and Economic Sustainability
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Abstract

The Advanced Reliability Analysis of Warranty-Databases (RAW) concept allows a structured, statistical analysis of field data. First goal is the identification of significant failure rate changes which are caused e.g. by manufacturing technology bugs or influences. Second goal is the detection of significant failure rate changes at an early time during field monitoring after the product market launch, to ensure a short reaction time for establishing process improvement actions and to prevent subsequent failure effects (e.g. rework). The application of the RAW concept will be presented by the automotive engineering case study ‘electromechanic fuel injection valve’.

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Bracke, S., Haller, S. (2012). Early identification of manufacturing process influences on product failure behaviour based on small field data volume. In: ElMaraghy, H. (eds) Enabling Manufacturing Competitiveness and Economic Sustainability. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23860-4_53

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  • DOI: https://doi.org/10.1007/978-3-642-23860-4_53

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23859-8

  • Online ISBN: 978-3-642-23860-4

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