A Domain-Specific Language Extension for Incorporating Resource Capability Modeling into RAMI 4.0

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Original language	English
Title of host publication	2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA)
DOIs	https://doi.org/10.1109/etfa61755.2024.10710737
Publication status	Published - 10 Sept 2024

Classification according to Österreichische Systematik der Wissenschaftszweige (ÖFOS 2012)

@inproceedings{7c7278e1ef4147e5a2072ea03d022196,

title = "A Domain-Specific Language Extension for Incorporating Resource Capability Modeling into RAMI 4.0",

author = "Sarah Riedmann and Christoph Binder and Jan Vollmar and Christian Neureiter and Arndt Luder",

year = "2024",

month = sep,

day = "10",

doi = "10.1109/etfa61755.2024.10710737",

language = "English",

booktitle = "2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA)",

}

TY - GEN

T1 - A Domain-Specific Language Extension for Incorporating Resource Capability Modeling into RAMI 4.0

AU - Riedmann, Sarah

AU - Binder, Christoph

AU - Vollmar, Jan

AU - Neureiter, Christian

AU - Luder, Arndt

PY - 2024/9/10

Y1 - 2024/9/10

UR - http://dx.doi.org/10.1109/etfa61755.2024.10710737

U2 - 10.1109/etfa61755.2024.10710737

DO - 10.1109/etfa61755.2024.10710737

M3 - Conference contribution

BT - 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA)

ER -