Dissertation: Data-Driven Configuration of Assistance Systems (Work Title)

Gerhard Reisinger, Fraunhofer Austria

Abstract: Constantly changing assembly tasks and reduced production cycles increase the risk of cognitive stress of operators. A large number of digital assistance systems implemented in assembly lines contribute to operator’s stress reduction. However, small and medium sized companies confront major challenges in implementing digital assistance solutions due to high investment costs and high customization effort. In addition, technological risks are mainly summarized as i) choosing the right assistance system, ii) realizing suitable interfaces within the in-house IT landscape for machine-to-machine and machine-to-human communication and iii) creating assembly instructions and configuring data systems in terms of supplying specific and adaptable information. Considering the aforementioned challenges and related technological risks, within this thesis a concept for automated data-driven reconfiguration of digital assistance systems is developed and validated.