Technologie: Training

The “InTraLab” Learning Factory

The “InTraLab” Learning Factory

Gaining experience and knowledge in digitally transformed work environments
Norbert Gronau ORCID Icon, Malte Teichmann
Learning factories offer a practical environment for simulating production processes in which learners can acquire skills through the direct application of new technologies. The Industrial Transformation Lab (InTraLab) models hybrid production processes by combining real-world demonstrators and virtual simulations. This enables learners to acquire the skills that are crucial for the digitally transformed world of work.
Industry 4.0 Science | Volume 41 | Edition 2 | Pages 46-51
Work-Integrated Learning in Industry 4.0

Work-Integrated Learning in Industry 4.0

A qualitative analysis of various assistance systems in assembly
Kathleen Warnhoff ORCID Icon
In the era of Industry 4.0, many industrial companies are facing major transformations. In the process of digitalization, factory management is adopting new technologies such as cognitive assistance systems, which has led to changes in work processes. Regarding assembly in the metal and electrical industries, it is unclear to what extent this development has promoted work-integrated learning. Therefore, the topic of this paper is a qualitative analysis that explores employees' perceptions of the learning opportunities and risks presented by cognitive assistance systems. Results: Not all assembly employees benefit equally from these new developments.
Industry 4.0 Science | Volume 41 | Edition 2 | Pages 20-29 | DOI 10.30844/I4SE.25.2.20
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
Pathways to Responsible Use of AI at Work

Pathways to Responsible Use of AI at Work

An organizational change perspective
Valentin Langholf ORCID Icon, Uta Wilkens ORCID Icon, Daniel Lupp ORCID Icon, Niklas Obermann ORCID Icon
The integration of AI in Industry 4.0 is steadily increasing. Applications include both single-purpose and generative AI systems in operation practices as well as training approaches. In addition to the technical challenges posed by these systems, organizations need to assess, plan and support the organizational changes associated with technology integration.
Industry 4.0 Science | Volume 40 | 2024 | Edition 5 | Pages 58-66 | DOI 10.30844/I4SE.24.5.58
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
Maturity Levels of Smart Knowledge Services

Maturity Levels of Smart Knowledge Services

Self-assessment and GAP analysis
Isger Glauninger ORCID Icon, Nick Tugarin ORCID Icon, Christian van Husen ORCID Icon
Digitalization opens up new forms of operational training. A growing focus is on smart services, which allow for proactive engagement with customer demands and empower businesses in times of digitalization. While traditional learning environments are rarely tailored toward individual needs, smart services offer new opportunities. Decentralization, previously only a utopic vision, is becoming the reality now.
Industry 4.0 Science | Volume 40 | 2024 | Edition 4 | Pages 50-56
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
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