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Analysis of the influence of process complexity and employee competence on the effect of digital assistance in industrial assembly

Keller, Thimo ; Behling, Magnus ; Stockinger, Christopher ; Metternich, Joachim ; Schützer, Klaus (2024)
Analysis of the influence of process complexity and employee competence on the effect of digital assistance in industrial assembly.
In: Production Engineering : Research and Development, 2021, 15 (1)
doi: 10.26083/tuprints-00023950
Article, Secondary publication, Publisher's Version

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Item Type: Article
Type of entry: Secondary publication
Title: Analysis of the influence of process complexity and employee competence on the effect of digital assistance in industrial assembly
Language: English
Date: 30 April 2024
Place of Publication: Darmstadt
Year of primary publication: February 2021
Place of primary publication: Berlin ; Heidelberg
Publisher: Springer
Journal or Publication Title: Production Engineering : Research and Development
Volume of the journal: 15
Issue Number: 1
DOI: 10.26083/tuprints-00023950
Corresponding Links:
Origin: Secondary publication DeepGreen
Abstract:

The diversification of products increases the complexity of production, which intensifies the demands placed on employees. Digital assistance is expected to improve employee performance and flexibility. This paper examines the impact of digital assistance on labor productivity (hourly output) and experience of use in dependence on process complexity and employee competence. Within the framework of an empirical study in the process learning factory CiP of the TU Darmstadt, the effect was quantified using the example of a typical assembly process. This paper presents the concept and the results of the study. After the classification of an assembly task, these results can be used to support the selection decision for a digital assistance system according to cost–benefit aspects.

Uncontrolled Keywords: Digital manufacturing system, Assembly(ing), Productivity, Experience of use
Status: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-239502
Classification DDC: 600 Technology, medicine, applied sciences > 620 Engineering and machine engineering
600 Technology, medicine, applied sciences > 670 Manufacturing
Divisions: 16 Department of Mechanical Engineering > Ergonomics (IAD)
16 Department of Mechanical Engineering > Institute of Production Technology and Machine Tools (PTW)
Date Deposited: 30 Apr 2024 11:03
Last Modified: 30 Jul 2024 09:57
SWORD Depositor: Deep Green
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/23950
PPN: 52021532X
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