Development of an Industrie 4.0 Software Platform for SMEs
- Especially in SMEs of the manufacturing industry, data is not sufficiently used to optimize processes. Some companies have implemented lighthouse “Industrie 4.0 projects”, but struggle with a broader approach. We present the results of a survey we performed that underlines that statement. There are approaches in the literature that propose generic architecture frameworks tackling the mentioned challenge. Still, most of them do not include the existing IT architecture of a company and fail to propose a comprehensive solution delivering a real benefit to companies. Therefore, companies cannot easily use them. For that reason, we developed and tested an Industrie 4.0 software platform architecture companies can use as a blueprint for their own implementation. This architecture is presented in this paper as well as the structured VDI 2221 approach we used to develop it.
Verfasserangaben: | Jörg HoffmannORCiDGND, Hendrik Frölian, Antoine Morin, Martin BleiderGND |
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DOI: | https://doi.org/10.1145/3312714.3312715 |
ISBN: | 978-1-4503-6235-1 |
Titel des übergeordneten Werkes (Englisch): | Proceedings of the 2019 the 5th International Conference on e-Society, e-Learning and e-Technologies |
Verlag: | ACM |
Ort: | New York |
Herausgeber*in: | Michele Della Ventura |
Dokumentart: | Konferenzveröffentlichung |
Sprache: | Englisch |
Datum der Veröffentlichung (online): | 09.02.2023 |
Datum der Erstveröffentlichung: | 11.01.2019 |
Datum der Freischaltung: | 09.02.2023 |
Freies Schlagwort / Tag: | Industrie 4.0 Industry 4.0 methodologies; Manufacturing Companies; SME; Sensors; Software Architecture; Survey |
Umfang: | 6 S. |
FIR-Nummer: | SV7063 / SV7064 |
Konferenzname: | 2nd International Conference on Information Management and Processing |
Konferenzort: | Wien |
Konferenzzeitraum: | 10.01.2019 – 11.01.2019 |
Institut / Bereiche des FIR: | FIR e. V. an der RWTH Aachen |
Informationsmanagement | |
DDC-Klassifikation: | 6 Technik, Medizin, angewandte Wissenschaften / 62 Ingenieurwissenschaften |