Autor: Ralph Richter

n the automotive industry, preventive quality actions are applied to ensure the quality of the end products. During production ramp-up the occurrence of nonconformities can be a critical issue. Nonconformities with new and innovative products can be especially challenging due to limited experience of previously unknown processes. To address this challenge, an IT application has been developed to capture the organization's existing knowledge and use this to support the problem- solving team in applying an enhanced 8D method.

The quality of injection-molded components is becoming increasingly important in polymer technology due to extended areas of application with higher mechanical loads. As established methods of quality assurance are increasingly reaching their limits, the digital twin as a basis for cross-process and cross-company data analysis opens up new possibilities in plastics technology for proactive and predictive monitoring and improvement of process and component quality when processing plastics into technical components.

Internal and external communication is a key success factor for Industrial Data Science (IDS) projects. In particular, complex issues must be prepared and presented comprehensively. Visualization contributes to a uniform and deep understanding of data, processes, models, and results by all parties involved. This article shows the practical benefits of different visualisations for communication and documentation in the respective phases of IDS projects.