Abstract
The smart factory promises significant cost savings particularly for high cost labor markets. The challenge in teaching smart factory courses or digitalization of manufacturing is the complexity of the topic. The smart factory is understood as a future state of a fully connected and flexible manufacturing system, operating autonomously or with optimized interaction between humans and machines by generating, transferring, receiving and processing necessary data to conduct all required tasks for producing different types of goods.
Due to this complexity the standard classroom teaching is not achieving satisfactory results. A key element is the understanding of the physical goods process linked to data and IT infrastructure. This digital representation of the physical world is then the base for learning from data for a specific use case for the factory of tomorrow.
This paper describes how the Smart Learning Factory as a sample case at the university of applied sciences OST will be set up as an unique approach with three interconnected locations with a real, daily manufactured product mainly for educational purposes. Over the last years, successful initiatives towards the Smart Learning Factory have been established. This base is the fundament for a significant larger step. We are now approaching this next horizon with strong support by the Canton of St. Gallen and the strategic focus of the entire school. Our goal is to give all students of all technical and economic studies the opportunity to experience the smart factory in the real world. A fully digital twin of the physical world will play a key role in understanding the future of manufacturing. This makes it possible to discuss the conceptual approaches, challenges and success factors to implement a smart factory.
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Notes
- 1.
Innosuisse is a governmental organization that funds applied research projects in Switzerland. It is mandatory in every project that industrial companies join forces with academia. A defined business plan by the industrial companies makes the result tangible.
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Hänggi, R., Nyffenegger, F., Ehrig, F., Jaeschke, P., Bernhardsgrütter, R. (2020). Smart Learning Factory – Network Approach for Learning and Transfer in a Digital & Physical Set up. In: Nyffenegger, F., Ríos, J., Rivest, L., Bouras, A. (eds) Product Lifecycle Management Enabling Smart X. PLM 2020. IFIP Advances in Information and Communication Technology, vol 594. Springer, Cham. https://doi.org/10.1007/978-3-030-62807-9_2
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