Supporting the digital transformation: a low-threshold approach for manufacturing related higher education and employee training
- The technologies of digital transformation, such as the Internet-of-Things (IoT), artificial intelligence or predictive maintenance enable significant efficiency gains in industry and are becoming increasingly important as a competitive factor. However, their successful implementation and creative, future application requires the broad acceptance and knowledge of non-IT-related groups, such as production management students, engineers or skilled workers, which is still lacking today. This paper presents a low-threshold training concept bringing IoT-technologies and applications into manufacturing related higher education and employee training. The concept addresses the relevant topics starting from IoT-basics to predictive maintenance using mobile low-cost hardware and infrastructure.
| Author of HS Reutlingen | Lucke, Dominik; Kuhn, Christian |
|---|---|
| URN: | urn:nbn:de:bsz:rt2-opus4-33363 |
| DOI: | https://doi.org/10.1016/j.procir.2021.11.109 |
| ISSN: | 2212-8271 |
| Erschienen in: | Procedia CIRP |
| Publisher: | Elsevier |
| Place of publication: | Amsterdam |
| Editor: | Dimitris Mourtzis |
| Document Type: | Journal article |
| Language: | English |
| Publication year: | 2021 |
| Tag: | internet of things; low-threshold training concept; predictive maintenance |
| Volume: | 104 |
| Issue: | 54th CIRP CMS 2021 – Towards Digitalized Manufacturing 4.0 |
| Page Number: | 6 |
| First Page: | 647 |
| Last Page: | 652 |
| DDC classes: | 670 Industrielle Fertigung |
| Open access?: | Ja |
| Licence (German): |  Creative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International |
