Framework for describing functions of digital technologies in manual assembly systems

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Leineweber, S.; Sudhoff, M.; Prinz, C.; Kuhlenkötter, B.: Framework for describing functions of digital technologies in manual assembly systems. In: Herberger, D.; Hübner, M. (Eds.): Proceedings of the Conference on Production Systems and Logistics : CPSL 2021. Hannover : publish-Ing., 2021, S. 760-769. DOI:

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Sum total of downloads: 534

The integration of digital technologies to promote digitization is essential for the competitiveness ofmanufacturing enterprises. As part of the production process, the manual assembly is subject of thisdigitizing change process. According to recent studies the integration of digital technologies is primarilylimited to scenarios in larger enterprises or prototype applications. For companies with a manual assemblysegment at a lower level of digitization these scenarios, adequately aggregated, potentially contain importantinsights related to the choice of appropriate digital technologies. An investigation of these scenarios, forexample in the form of a qualitative study, therefore seems appropriate. In advance of such an investigation,however, the scope of the investigation, the manual assembly area, must be modeled in order to be able todepict specific situations in the scenarios under investigation. Secondly, the spectrum of digital technologiescurrently used in manual assembly must be identified and described. The latter is the topic of this paper. Theauthors of this paper aims to create a framework for describing and classifying digital technologies in manualassembly on the basis of their functions.
License of this version: CC BY 3.0 DE
Document Type: BookPart
Publishing status: publishedVersion
Issue Date: 2021
Appears in Collections:Proceedings CPSL 2021
Proceedings CPSL 2021

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downloads by country:

pos. country downloads
total perc.
1 image of flag of Russian Federation Russian Federation 208 38.95%
2 image of flag of Czech Republic Czech Republic 189 35.39%
3 image of flag of Germany Germany 87 16.29%
4 image of flag of United States United States 16 3.00%
5 image of flag of China China 5 0.94%
6 image of flag of India India 4 0.75%
7 image of flag of No geo information available No geo information available 3 0.56%
8 image of flag of Netherlands Netherlands 3 0.56%
9 image of flag of Malaysia Malaysia 3 0.56%
10 image of flag of Austria Austria 2 0.37%
    other countries 14 2.62%

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