04/2020 Proceedings

Thim, Christof | Ullrich, André | Gronau, Norbert

Learning and Forgetting in Cyber-Physical Production Systems


The implementation of learning scenarios is a diversely challenging, frequently purely manual and effortful undertaking. In this contribution a process based view is used in scenario generation to overcome communication, coordination and technical gaps. A framework is provided to identify, define and integrate technological artefacts and learning content as modular, reusable building blocks along a modeled production process. The specific contribution is twofold: 1) the theoretical framework represents a unique basis for modularization of content and technology in order to enhance reusability, 2) the model based scenario definition is a starting point for automated implementation of learning scenarios in industrial learning environments that has not been created before.

Kategorie Proceedings
Autoren Thim, Christof; Ullrich, André; Gronau, Norbert
Datum 04/2020
Konferenztitel CARV2020
pp. 522 - 527
DOI 10.1016/j.promfg.2020.04.071
Keywords Learning factories, Learning scenario implementation, Process modelling