Synergistic and intelligent process optimization

Data science has become an important research topic across scientific disciplines. The project SINGPRO investigated the merging of big data platforms, machine learning and data analytics with process planning and scheduling optimization. The goal was to create online, reactive and anticipative tools for more sustainable and efficient operation. We could see clear and tangible benefits from using more advanced methods to process historical/on-line data through the application of AI/ML methods. The results could improve the accuracy of scheduling and predictability of processes, reduce the search domain of large-scale problems, which can lead to better and more optimized operations resulting in more safe and sustainable operations and higher profits. We were also able to identify many new research questions, e.g. in how to even further improve the data analytics and machine learning and how to try to automize the domain knowledge in handling various process-related data.