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Towards a framework for assistance systems to support work processes in smart factories

: Fellmann, Michael; Robert, Sebastian; Büttner, Sebastian; Mucha, Henrik; Röcker, Carsten


Holzinger, A. ; International Federation for Information Processing -IFIP-:
Machine Learning and Knowledge Extraction : IFIP TC 5, WG 8.4, 8.9, 12.9 International Cross-Domain Conference, CD-MAKE 2017, Reggio, Italy, August 29 - September 1, 2017, Proceedings
Cham: Springer International Publishing, 2017 (Lecture Notes in Computer Science 10410)
ISBN: 978-3-319-66807-9 (Print)
ISBN: 978-3-319-66808-6 (Online)
ISBN: 3-319-66807-2
International Cross-Domain Conference (CD-MAKE) <2017, Reggio>
Conference Paper
Fraunhofer IOSB ()
assistance system; smart factory; production process

Increasingly, production processes are enabled and controlled by Information Technology (IT), a development being also referred to as “Industry 4.0”. IT thereby contributes to flexible and adaptive production processes, and in this sense factories become “smart factories”. In line with this, IT also more and more supports human workers via various assistance systems. This support aims to both support workers to better execute their tasks and to reduce the effort and time required when working. However, due to the large spectrum of assistance systems, it is hard to acquire an overview and to select an adequate system for a smart factory based on meaningful criteria. We therefore synthesize a set of comparison criteria into a consistent framework and demonstrate the application of our framework by classifying three examples.