@inproceedings{DietrichPalmLouw2022, author = {Dietrich, Fabian and Palm, Daniel and Louw, Louis}, title = {A teaching concept to convey benefits of blockchain-based applications in supply chains and production by means of learning factories}, booktitle = {Proceedings of the 12th Conference on Learning Factories (CLF 2022), 11-13 April 2022, Singapore}, url = {https://ssrn.com/abstract=4080422}, institution = {ESB Business School}, pages = {6}, year = {2022}, abstract = {Blockchain is a technology for the secure processing and verification of data transactions based on a distributed peer-to-peer network that uses cryptographic processes, consensus algorithms, and backward-linked blocks to make transactions virtually immutable. Within supply chain management, blockchain technology offer potentials in increasing supply chain transparency, visibility, automation, and efficiency. However, its complexity requires future employees to have comprehensive knowledge regarding the functionality of blockchain-based applications in order to be able to apply their benefits to scenarios in supply chain and production. Learning factories represent a suitable environment allowing learners to experience new technologies and to apply them to virtual and physical processes throughout value chains. This paper presents a concept to practically transfer knowledge about the technical functionality of blockchain technology to future engineers and software developers working within supply chains and production operations to sensitize them regarding the advantages of decentralized applications. First, the concept proposes methods to playfully convey immutable backward-linked blocks and the embedment of blockchain smart contracts. Subsequently, the students use this knowledge to develop blockchain-based application scenarios by means of an exemplary product in a learning factory environment. Finally, the developed solutions are implemented with the help of a prototypical decentralized application, which enables a holistic mapping of supply chain events.}, language = {en} }