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Agile Implementation of Virtual Reality in Learning Factories

Riemann, Thomas ; Kreß, Antonio ; Roth, Lisa ; Klipfel, Sven ; Metternich, Joachim ; Grell, Petra (2020)
Agile Implementation of Virtual Reality in Learning Factories.
In: Procedia Manufacturing, 2020, 45
doi: 10.25534/tuprints-00014281
Article, Secondary publication, Publisher's Version

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Item Type: Article
Type of entry: Secondary publication
Title: Agile Implementation of Virtual Reality in Learning Factories
Language: English
Date: 2020
Place of Publication: Darmstadt
Year of primary publication: 2020
Publisher: Elsevier
Journal or Publication Title: Procedia Manufacturing
Volume of the journal: 45
DOI: 10.25534/tuprints-00014281
Corresponding Links:
Origin: Secondary publication service
Abstract:

The concept of learning factories fulfills current learning theoretical requirements in terms of the situation, process orientation, as well as authenticity. Nevertheless, due to the high complexity of the industrial production environment, it is challenging to transfer learned skills into the operational application situation. With Virtual Reality, training participants have the ability to learn with transfer-oriented action tasks in virtual space directly after the training in physical learning environments. The learning process can be personalized and adapted in the virtual learning environment. Each participant in the training can individually determine elements of the learning situation. For example, the entire learning environment can be adapted to the individual real production environment of the training participant. Through Virtual Reality, new forms of reflection are possible, e.g. recording the learning process. Technical, didactic and organizational requirements were identified by a systematic literature analysis. The research project is based on training courses in the process learning factory “Center for industrial Productivity” (CiP) located at TU Darmstadt. In order to assess and prioritize the requirements, expert surveys were conducted. The surveys are based on the Kano model in order to classify requirements. Must-be quality requirements are implemented in a minimum viable product (MVP). The MVP allows fast learning by testing and experimenting. Based on the agile manifesto, further requirements can be implemented agilely in the virtual environment.

Status: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-142813
Additional Information:

10th Conference on Learning Factories, CLF2020

Classification DDC: 600 Technology, medicine, applied sciences > 600 Technology
600 Technology, medicine, applied sciences > 620 Engineering and machine engineering
Divisions: 16 Department of Mechanical Engineering > Institute of Production Technology and Machine Tools (PTW) > CiP Center for industrial Productivity
Date Deposited: 30 Nov 2020 14:34
Last Modified: 28 Jul 2023 06:59
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/14281
PPN: 509985122
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