“…This implies that for every new product a similar number of experiments will be required to understand the process behaviour. In previous articles, the possibility of creating more powerful process models has been explored [12,13], which can be combined with the use of model-based Design of Experiment [14,15,16,17,18,19,20,9] to reduce the experimental effort. However, for a successive acceleration of process development activities novel methods are needed that allow to derive information from a joint analysis of process data generated for different product and further are even capable to predict process behaviour for novel products, for which yet a limited amount of data has been generated.…”