Industrie 4.0

Digital and Ecological Transformation in Companies

Digital and Ecological Transformation in Companies

Challenges and potential in interaction
Manfred Wannöfel, Bernd Kuhlenkötter ORCID Icon, Christopher Prinz ORCID Icon, Fabian Hoose ORCID Icon, Manfred Wannöffel ORCID Icon
Although the concept of double transformation is being intensely discussed in companies, the practical implementation in operational structures often remains unclear. This article sheds light on how digital technologies and environmental sustainability strategies can be developed either synergistically, antagonistically or independently of each other. In addition, it discusses the different experiences of employees in different industries and the varying progress in the introduction of digital and ecological measures. To this end, it will discuss existing research findings and practical examples that pave the way for the successful integration of both transformation processes in companies.
Industry 4.0 Science | Volume 40 | 2024 | Edition 5 | Pages 34-42 | DOI 10.30844/I4SE.24.5.34
Analyzing Work Processes with Motion Capture Systems

Analyzing Work Processes with Motion Capture Systems

Solution and implementation principles
Hermann Lödding ORCID Icon, Silas Pöttker ORCID Icon, Tim Jansen ORCID Icon
The double transformation describes the necessary change in the economy in the dimensions of ecology and digitalization. Motion capture systems offer new possibilities for recording and analyzing work processes in industrial assembly. They visualize motion sequences with high frequency, precision and resolution. The question therefore arises as to how the technology can be used in the context of digital transformation to further develop the analysis of work processes and the design of workplaces. Our article discusses this on the basis of solution principles and describes implementation principles for the development of upcoming digital assistance systems.
Industry 4.0 Science | Volume 40 | 2024 | Edition 5 | Pages 43-49 | DOI 10.30844/I4SE.24.5.42
Training in Industry 4.0 with AI Tutoring Systems

Training in Industry 4.0 with AI Tutoring Systems

State of technology
Norbert Gronau ORCID Icon, Georg David Ritterbusch ORCID Icon
The rapid development of artificial intelligence (AI) is constantly opening new opportunities, particularly in training for the factory of the future. For employees, this not only means a significant advantage in the actual manufacturing process, but also in the field of continuing education. This paper provides an overview of AI tutoring systems continuing education in the context of Industry 4.0 by presenting a categorization that discusses different approaches of AI tutoring systems by learning methods, application areas and their respective technologies. In addition, an outlook on the disruptive effect of generative AI on AI tutoring systems in Industry 4.0 is given.
Industry 4.0 Science | Volume 40 | 2024 | Edition 5 | Pages 50-57 | DOI 10.30844/I4SE.24.5.50
I4S 5/2024: Double Transformation

I4S 5/2024: Double Transformation

Integrating digital and ecological change in the world of work
Change is necessary for companies to maintain their competitive edge—both digital and ecological change. But while external support is at hand, the drive for change must come from companies themselves. In this issue of Industry 4.0 Science, experts of the Academic Society for Work and Industrial Organization discuss how the real-world application of innovative technologies lead to resource-efficient manufacturing.
Modular Learning Factories for Industry 4.0

Modular Learning Factories for Industry 4.0

Acquisition of a target-oriented acton competence to accelerate industrial implementation
Maximilian Dommermuth ORCID Icon
Industry 4.0 requires new teaching content due to its innovation potential. Skills profiles currently in demand often aren't reflected in vocational and tertiary education. Additionally, conventional further education and training often costs considerably money and time. Tailor-made learning opportunities and teaching targeted problem-solving skills in a modular learning factory are a more effective approach.
Industry 4.0 Science | Volume 40 | 2024 | Edition 4 | Pages 24-30 | DOI 10.30844/I4SE.24.4.24
A Learning Factory in Transition

A Learning Factory in Transition

Innovatively meeting the demands of the modern labor market
Nick Ackerhans, Benjamin März
Agile methods are extremely useful in solving complex problems. This is particularly beneficial in market environments where the routines of traditional corporate management are constantly being questioned. Agility is closely linked to the core ideas of Lean Management, as evidenced by the focus on processes and people. Lean factories facilitate a hands-on engagement with Lean principles, thereby promoting agile process management in various production contexts.
Industry 4.0 Science | Volume 40 | Edition 4 | Pages 63-68
The Key to Successful Digitalization

The Key to Successful Digitalization

Development, implementation and benefits of digital twins in Industry 4.0
Andreas Bayha ORCID Icon, Sönke Knoch ORCID Icon, Dirk Schöttke ORCID Icon
The success of technologies depends not only on their innovative strength and acceptance, but also on their management. Decision-makers evaluate factors like technical framework conditions and organizational requirements, with the demand for flexibility adding to the complexity. Industry 4.0 addresses this with networking, transparency and decentralized decisions. Digital twins, which can be implemented with open source software, play a key role.
Industry 4.0 Science | Volume 40 | Edition 4 | Pages 42-49
Additive Manufacturing 4.0 Learning Factory

Additive Manufacturing 4.0 Learning Factory

Digitalization for batch size 1
Fabian Riß, Nicolas Rolinck, Stefan Böhm ORCID Icon, Alessandro Morath
In the course of digitalization, collaboration between humans and machines is inevitable. This should be considered as early as possible in further training. There’s a major obstacle to this in mechanical engineering: the lack of access to the knowledge needed for success. This can have a negative impact on the acceptance of digitalized processes. A teaching and learning platform teaching digitalization on real machines does important work here.
Industry 4.0 Science | Volume 40 | 2024 | Edition 4 | Pages 57-62
Learning Factories as Innovative Training Locations for SMEs

Learning Factories as Innovative Training Locations for SMEs

Qualitative analysis of concepts and cooperations
Kathleen Warnhoff ORCID Icon, Simon Dabrowski ORCID Icon, Lea Müller-Greifenberg, Denise Gramß, Monika Stricker
In the context of Industry 4.0, learning factories are important places for company-based learning. Studies show that they have continued to develop since their emergence and are no longer limited to vocational and academic education. This leads to the question of how much the concept of the learning factory represents an innovative approach to further training in small and medium-sized enterprises (SMEs). This article focuses on three selected learning factories relevant to continuing education that were analyzed using qualitative methods with regard to their concepts and cooperation. The findings are embedded in a theoretical framework that links the scientific discussion on learning locations and educational cooperation. The empirical findings from three learning factories illustrate relevant learning locations for continuing education in SMEs.
Industry 4.0 Science | Volume 40 | 2024 | Edition 4 | Pages 32-41
I4S 4/2024: Learning Factories

I4S 4/2024: Learning Factories

Learning locations for SMEs, more resilience through knowledge transfer
The shortage of skilled labor is putting pressure on many manufacturing companies worldwide. While skilled labor is becoming scarcer in traditional industrialized economies, proper training is urgently needed in countries with high unemployment. But how to solve this challenge? Find out what makes learning factories so successful in this issue.
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