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  5. Unlocking the potential of digitalization and automation: a qualitative and quantitative study of the control cabinet manufacturing industry

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Article
English
2024

Unlocking the potential of digitalization and automation: a qualitative and quantitative study of the control cabinet manufacturing industry

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0 Files

English
2024
Production & Manufacturing Research
Vol 12 (1)
DOI: 10.1080/21693277.2024.2306820

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Patrick Bründl
Patrick Bründl

Production Automation and Production Systems

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Patrick Bründl
Micha Stoidner
Jens Bredthauer
+3 more

Abstract

This paper investigates the German control cabinet manufacturing industry, revealing its opportunities, challenges, and varying levels of digitalization and automation. The researchers employ cluster analysis, grouping companies into five clusters based on digitalization and automation, resulting in a new classification framework. This framework significantly improves the similarity level within each cluster by approximately 52.89 % compared to pre-existing models. While the levels of digitalization and automation vary greatly between the different clusters, skill shortages and supply chain problems are identified as potential development barriers to companies from all groups. To overcome these obstacles, the paper outlines key improvement areas based on data findings. This proposed classification can guide companies in assessing their digital maturity and pinpointing enhancement areas, emphasizing the necessity of adopting digitalization and automation for improved efficiency and market competitiveness.

How to cite this publication

Patrick Bründl, Micha Stoidner, Jens Bredthauer, Huong Giang Nguyen, Andreas Baechler, Jörg Franke (2024). Unlocking the potential of digitalization and automation: a qualitative and quantitative study of the control cabinet manufacturing industry. Production & Manufacturing Research, 12(1), DOI: 10.1080/21693277.2024.2306820.

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Publication Details

Type

Article

Year

2024

Authors

6

Datasets

0

Total Files

0

Language

English

Journal

Production & Manufacturing Research

DOI

10.1080/21693277.2024.2306820

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