Abstract
Advanced manufacturing of automotive lightweight structures implies the introduction of new process steps into traditional process chains. Due to the combination of materials and their functional integration, those process steps show increased complexity. As a result, manufacturing faces new challenges regarding a constant and high product quality. A widely discussed approach to encounter these new challenges is the analysis of manufacturing process data by applying data mining methods. Benefits of the underlying digitalization approach are found in extensive transparency, product quality assurance, decision support or even in an automated manufacturing control.
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