%0 Conference Paper %1 10.1007/978-3-030-89022-3_22 %A Becker, Fabian %A Bibow, Pascal %A Dalibor, Manuela %A Gannouni, Aymen %A Hahn, Viviane %A Hopmann, Christian %A Jarke, Matthias %A Koren, István %A Kröger, Moritz %A Lipp, Johannes %A Maibaum, Judith %A Michael, Judith %A Rumpe, Bernhard %A Sapel, Patrick %A Schäfer, Niklas %A Schmitz, Georg J. %A Schuh, Günther %A Wortmann, Andreas %B Conceptual Modeling %C Cham %D 2021 %E Ghose, Aditya %E Horkoff, Jennifer %E Silva Souza, Vítor E. %E Parsons, Jeffrey %E Evermann, Joerg %I Springer International Publishing %K rwthaachense %P 271--281 %T A Conceptual Model for Digital Shadows in Industry and Its Application %U https://link.springer.com/chapter/10.1007/978-3-030-89022-3_22 %X Smart manufacturing demands to process data in domain-specific real-time. Engineering models created for constructing, commissioning, planning, or simulating manufacturing systems can facilitate aggregating and abstracting the wealth of manufacturing data to faster processable data structures for more timely decision making. Current research lacks conceptual foundations for how data and engineering models can be exploited in an integrated way to achieve this. Such research demands expertise from different smart manufacturing domains to harmonize the notion space. We propose a conceptual model to describe digital shadows, data structures tailored to exploit models and data in smart manufacturing, through a metamodel and its notion space. This conceptual model was established through interdisciplinary research in the German excellence cluster ``Internet of Production'' and evaluated in various real-world manufacturing scenarios. This foundation for an understanding helps to manage complexity, automated analyses, and syntheses, and, ultimately, facilitates cross-domain collaboration. %@ 978-3-030-89022-3

@inproceedings{10.1007/978-3-030-89022-3_22, abstract = {Smart manufacturing demands to process data in domain-specific real-time. Engineering models created for constructing, commissioning, planning, or simulating manufacturing systems can facilitate aggregating and abstracting the wealth of manufacturing data to faster processable data structures for more timely decision making. Current research lacks conceptual foundations for how data and engineering models can be exploited in an integrated way to achieve this. Such research demands expertise from different smart manufacturing domains to harmonize the notion space. We propose a conceptual model to describe digital shadows, data structures tailored to exploit models and data in smart manufacturing, through a metamodel and its notion space. This conceptual model was established through interdisciplinary research in the German excellence cluster ``Internet of Production'' and evaluated in various real-world manufacturing scenarios. This foundation for an understanding helps to manage complexity, automated analyses, and syntheses, and, ultimately, facilitates cross-domain collaboration.}, added-at = {2021-12-07T13:15:44.000+0100}, address = {Cham}, author = {Becker, Fabian and Bibow, Pascal and Dalibor, Manuela and Gannouni, Aymen and Hahn, Viviane and Hopmann, Christian and Jarke, Matthias and Koren, István and Kröger, Moritz and Lipp, Johannes and Maibaum, Judith and Michael, Judith and Rumpe, Bernhard and Sapel, Patrick and Schäfer, Niklas and Schmitz, Georg J. and Schuh, Günther and Wortmann, Andreas}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/28e333a4a87650007cfd2904ffe84e659/isw-bibliothek}, booktitle = {Conceptual Modeling}, editor = {Ghose, Aditya and Horkoff, Jennifer and Silva Souza, V{\'i}tor E. and Parsons, Jeffrey and Evermann, Joerg}, interhash = {f64eb451d9dbdbaeee63fe262847ea7d}, intrahash = {8e333a4a87650007cfd2904ffe84e659}, isbn = {978-3-030-89022-3}, keywords = {rwthaachense}, pages = {271--281}, publisher = {Springer International Publishing}, timestamp = {2021-12-13T08:54:24.000+0100}, title = {A Conceptual Model for Digital Shadows in Industry and Its Application}, url = {https://link.springer.com/chapter/10.1007/978-3-030-89022-3_22}, year = 2021 }