AI approaches for enhanced process performance and product quality

The potential of Big Data & Machine Learning for process improvement/scale-up is largely underutilized. We aim for a data-driven approach that guides decision-making and virtualizes the data we generate and store. Our new approach will improve yield and quality of our existing production processes and accelerate novel product development. Business embraces digital transformation to establish a data driven organization. This will embed advanced data analysis across functions to advance in higher sustainability through higher productivity. Therefore, this project will go for the identification of key parameters affecting process performance and product quality, which will help to debottleneck the limiting resources in major business areas. The biggest value of this project will be to further develop the missing tools to improve processes by machine learning algorithms in realtime.

The potential of Big Data & Machine Learning for process improvement/scale-up is largely underutilized. We aim for a data-driven approach that guides decision-making and virtualizes the data we generate and store. Our new approach will improve yield and quality of our existing production processes and accelerate novel product development. Business embraces digital transformation to establish a data driven organization. This will embed advanced data analysis across functions to advance in higher sustainability through higher productivity. Therefore, this project will go for the identification of key parameters affecting process performance and product quality, which will help to debottleneck the limiting resources in major business areas. The biggest value of this project will be to further develop the missing tools to improve processes by machine learning algorithms in realtime.