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Audit - and then what? A roadmap for digitization of learning factories

Ullrich, André ; Enke, Judith ; Teichmann, Malte ; Kreß, Antonio ; Gronau, Norbert (2019):
Audit - and then what? A roadmap for digitization of learning factories. (Publisher's Version)
In: Procedia Manufacturing, 31, pp. 162-168. Elsevier, ISSN 2351-9789,
DOI: 10.25534/tuprints-00014282,

Copyright Information: CC-BY-NC-ND 4.0 International - Creative Commons, Attribution NonCommercial, NoDerivs.

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Item Type: Article
Origin: Secondary publication service
Status: Publisher's Version
Title: Audit - and then what? A roadmap for digitization of learning factories
Language: English

Current trends such as digital transformation, Internet of Things, or Industry 4.0 are challenging the majority of learning factories. Regardless of whether a conventional learning factory, a model factory, or a digital learning factory, traditional approaches such as the monotonous execution of specific instructions don‘t suffice the learner’s needs, market requirements as well as especially current technological developments. Contemporary teaching environments need a clear strategy, a road to follow for being able to successfully cope with the changes and develop towards digitized learning factories. This demand driven necessity of transformation leads to another obstacle: Assessing the status quo and developing and implementing adequate action plans. Within this paper, details of a maturity-based audit of the hybrid learning factory in the Research and Application Centre Industry 4.0 and a thereof derived roadmap for the digitization of a learning factory are presented.

Journal or Publication Title: Procedia Manufacturing
Volume of the journal: 31
Publisher: Elsevier
Classification DDC: 600 Technik, Medizin, angewandte Wissenschaften > 600 Technik
600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften und Maschinenbau
Divisions: 16 Department of Mechanical Engineering > Institute of Production Technology and Machine Tools (PTW) > CiP Center for industrial Productivity
Date Deposited: 30 Nov 2020 14:38
Last Modified: 01 Dec 2020 20:11
DOI: 10.25534/tuprints-00014282
Corresponding Links:
URN: urn:nbn:de:tuda-tuprints-142823
Additional Information:

9th Conference on Learning Factories 2019

URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/14282
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