Solid forming companies are always faced with the challenge of producing high-quality products that meet the strict requirements of the customers. The quality has to be reproducible despite fluctuations occurring along the value chain. In order to meet the requirements, solutions for an improved process stability and quality are needed. This paper presents a data-driven approach that aims to adapt quality fluctuations. Thus, process data is modeled in-memory in a multidimensional database. Based on the results of an online analytical processing, the process is controlled in real-time.
