Abstract
The use of hybrid vehicle components can support the achievement of a more sustainable mobility through e.g. weight reduction and reduced environmental impacts. In order to exploit all potentials of hybrid components a holistic comprehension of the life cycle is necessary, which can be achieved by increasing the transparency through a digital representation of all life cycle stages. The digital representation contains data like process characteristics and material properties, which can be used for e.g. condition monitoring. Life Cycle Technologies (LCTs) like component- or tool-integrated sensors are an enabler to generate this data. For a value-adding use of LCTs their embedding in data-driven business models offers the potential for creating a sustainable business driven interconnection of relevant stakeholders along the life cycle. Within this paper, the definition of LCTs is enriched and a framework and procedure model for implementing LCTs is developed, including the embedding in a data-driven business model.
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Acknowledgement
This research and development project is funded by the German Federal Ministry of Education and Research (BMBF) within the funding initiative “Research Campus – Public-Private Partnership for Innovation” (funding code: 02P18Q700) and implemented by the Project Management Agency Karlsruhe (PTKA). The author is responsible for the content of this publication.
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Wilde, AS., Gellrich, S., Mennenga, M., Abraham, T., Herrmann, C. (2022). Data-Driven Business Models for Life Cycle Technologies: Exemplary Planning for Hybrid Components. In: Behrens, BA., Brosius, A., Drossel, WG., Hintze, W., Ihlenfeldt, S., Nyhuis, P. (eds) Production at the Leading Edge of Technology. WGP 2021. Lecture Notes in Production Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-78424-9_54
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