Design

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
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
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
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
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
Digital Transformation Coaching

Digital Transformation Coaching

Employee development as a supplement to change management in transformation processes
Michael Bauer, Eric Grosse ORCID Icon
Digital transformation processes have a high tendency for delay, exceeding costs, and failure. This poses a significant risk in competitive global markets and shifting business models of entire industries. Successful companies have a different approach to new technologies than more traditional incumbents. Including the workforce in the transformation via change leadership in a digital transformation coaching process can reduce fear and resistance and can lead to a paradigm shift of approaching the digital transformation itself: as an agility driven, infinite game with high potential gain.
Industry 4.0 Science | Volume 40 | 2024 | Edition 3 | Pages 33-40
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