Challenges of Applying Adaptive Processes to Enable Variability in Sustainability Data Collection

Nowadays, demanding legal regulations as well as sophisticated customer needs force companies in electronics and automotive industries to provide a multitude of different sustainability indicators. Since their products usually contain numerous components and sub-components, companies must deal with complex, intransparent data collection processes along their supply chains in order to finally deliver valuable data. A myriad of different automatic and manual tasks, potentially long-running processes, and quickly changing situations result in great variability that is hard to handle. In the SustainHub project, a dedicated information system for supporting data collection processes is developed. Thereby, core challenges as well as state-of-the-art were systematically gathered, consolidated as well as assessed. The condensed results are presented in this paper.