Name
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. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1007/978-3-030-89022-3_22 | CONCEPTUAL MODELING, ER 2021 |
Keywords | DocType | Volume |
Digital shadow, Conceptual model, Smart manufacturing, Internet of production | Conference | 13011 |
ISSN | Citations | PageRank |
0302-9743 | 1 | 0.36 |
References | Authors | |
0 | 18 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fabian Becker | 1 | 1 | 0.36 |
| Pascal Bibow | 2 | 1 | 0.36 |
| Manuela Dalibor | 3 | 6 | 2.15 |
| Aymen Gannouni | 4 | 1 | 0.36 |
| Viviane Hahn | 5 | 1 | 0.36 |
| Christian Hopmann | 6 | 1 | 0.36 |
| Matthias Jarke | 7 | 5071 | 1762.03 |
| István Koren | 8 | 1 | 0.36 |
| Moritz Kröger | 9 | 1 | 0.36 |
| Johannes Lipp | 10 | 1 | 1.71 |
| Judith Maibaum | 11 | 1 | 0.36 |
| Judith Michael | 12 | 22 | 10.34 |
| Bernhard Rumpe | 13 | 2691 | 313.45 |
| Patrick Sapel | 14 | 1 | 0.36 |
| Niklas Schäfer | 15 | 1 | 0.36 |
| Georg J. Schmitz | 16 | 1 | 0.36 |
| Günther Schuh | 17 | 1 | 0.36 |
| Andreas Wortmann | 18 | 4 | 2.80 |