The foundry industry is one of the most energy-intensive industries in Germany. Therefore, the optimization of the processes with a resulting reduction of production defects is essential for a sustainable development of the industry. One way to optimize the casting processes is the use of digital tools to identify the non-linear and multicriterial dependencies in the processes, which significantly complicate the optimization. To derive these non-linear and multicriterial dependencies data analysis tools to analyze the data from the production process and the data from quality inspections are necessary.

One quality inspection in the casting process is the X-ray inspection, which is mandatory for safety-relevant products. The inspection data and the X-ray image include various parameters to determine the product quality. Therefore, the data can be used to analyze dependencies between the product quality and the production processes.