TY  - JOUR
U1  - Zeitschriftenartikel, wissenschaftlich - begutachtet (reviewed)
A1  - Kuhn, Christian
A1  - Lucke, Dominik
ED  - Mourtzis, Dimitris
T1  - Supporting the digital transformation: a low-threshold approach for manufacturing related higher education and employee training
JF  - Procedia CIRP
N2  - 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.
KW  - internet of things
KW  - predictive maintenance
KW  - low-threshold training concept
Y1  - 2021
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:rt2-opus4-33363
SN  - 2212-8271
SS  - 2212-8271
U6  - https://doi.org/10.1016/j.procir.2021.11.109
DO  - https://doi.org/10.1016/j.procir.2021.11.109
VL  - 104
IS  - 54th CIRP CMS 2021 – Towards Digitalized Manufacturing 4.0
SP  - 647
EP  - 652
S1  - 6
PB  - Elsevier
CY  - Amsterdam
ER  -