Redeker, MagnusMagnusRedekerKlarhorst, ChristianChristianKlarhorstGöllner, DenisDenisGöllnerQuirin, DennisDennisQuirinWißbrock, PeterPeterWißbrockAlthoff, SimonSimonAlthoffHesse, MarcMarcHesse2022-05-062022-05-062021https://publica.fraunhofer.de/handle/publica/41694110.1109/ETFA45728.2021.9613369Today's high complexity and required expertise in various disciplines for data-based evaluations of shop-floor assets is challenging. This paper describes the ongoing development towards an Industry 4.0 ecosystem enabling Smart Services and shop-floor assets to network autonomously. Three partial solutions are combined for this purpose: Industry 4.0 digital twins, automated data streams and a Smart Service toolbox. A prototypical implementation proves the general practicability. Furthermore, future work is outlined to achieve full autonomy.enindustry 4.0sustainabilityShop-floorautonomysmart servicemachine learningdigital twinAsset Administration Shellbig data platform004670conference paper