Training

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
From Lean Production to the Sustainable Production System of the Future

From Lean Production to the Sustainable Production System of the Future

An innovation factory as a multi-stage learning factory
Markus Schneider, Christoph Müller
The typical problems of a medium-sized company, coupled with the new requirements for sustainability, harbor the potential for economic tension. Learning factories can counteract this: they simulate production processes and offer an environment where participants can develop knowledge and skills in a realistic production setting. Establishing an innovation factory not only increases productivity, but also significantly reduces land consumption.
Industry 4.0 Science | Volume 40 | 2024 | Edition 4 | Pages 78-84
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
Remanufacturing in the Learning Factory

Remanufacturing in the Learning Factory

An integrative platform for the circular economy
Jan Koller ORCID Icon, Frank Döpper ORCID Icon
In remanufacturing, used goods are brought up to the quality level of a new product. This distinguishes it from recycling, which recovers materials and converts them into new units or products. Various uncertainties, such as the condition, quantity and time of return, can be minimized with Industry 4.0 approaches and artificial intelligence. A special learning concept ensures that employees have the required competence profiles in this context.
Industry 4.0 Science | Volume 40 | 2024 | Edition 4 | Pages 85-89
Digital Factory in Engineering Education

Digital Factory in Engineering Education

A teaching concept from a university of applied sciences
Sven Völker ORCID Icon
The volatility of economic conditions and rapid technological progress require production sites to be constantly adapted and improved. This needs highly qualified factory planners who can use digital planning tools efficiently. The best qualifications emerge from closely interlinking the teaching of planning methods and the application of these methods in a planning project according to the principle of “learning by doing”.
Industry 4.0 Science | Volume 40 | Edition 4 | Pages 8-15
Networked Learning Factories as Trailblazers

Networked Learning Factories as Trailblazers

Digital pioneering work for modern education
Julian Buitmann, Robert Holling ORCID Icon, Steffen Greiser ORCID Icon
Learning factories promote digital transformation through an interdisciplinary approach between lean management, Industry 4.0, energy efficiency, training center or research farm. SME centers are characterized by the on-site integration of small and medium-sized companies. Such a regional strategy, combined with learning factories, promotes a goal-oriented dialog between science and practice where students can put their theoretical knowledge to the test.
Industry 4.0 Science | Volume 40 | Edition 4 | Pages 16-23
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
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