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Approach to introduce sustainable intelligent products by means of collaborative data intelligence considering the digital twin

  • The early involvement of experiences gained through intelligence and data analysis is becoming increasingly important in order to develop new products, leading to a completely different conception of product creation, development and engineering processes using the advantages that the dedication of the digital twin entails. Introducing a novel stage gate process in order to be holistically anchored in learning factories adopting idea generation and idea screening in an early stage, beta testing of first prototypes, technical implementation in real production scenarios, business analysis, market evaluation, pricing, service models as well as innovative social media portals. Corresponding product modelling in the sense of sustainability, circular economy, and data analytics forecasts the product on the market both before and after market launch with the interlinking of data interpretation nearby in real-time. The digital twin represents the link between the digital model and the digital shadow. Additionally, the connection of the digital twin with the product provides constantly updated operating status and process data as well as mapping of technical properties and real-world behaviours. A future-networking product, by embedded information technology with the ability to initiate and carry out one's own further development, is able to interact with people and environments and thus is relevant to the way of life of future generations. In today's development work for this new product creation approach, on one hand, "Werk150" is the object of the development itself and on the other hand the validation environment. In the next step, new learning modules and scenarios for trainings at master level will be derived from these findings.

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Metadaten
Author of HS ReutlingenHummel, Vera; Angos Mediavilla, Mario; Brenner, Beate
URN:urn:nbn:de:bsz:rt2-opus4-40200
DOI:https://doi.org/10.2139/ssrn.4080272
Erschienen in:Proceedings of the 12th Conference on Learning Factories (CLF 2022), 11-13 April 2022, Singapore
Publisher:Elsevier
Place of publication:Rochester, NY
Document Type:Conference proceeding
Language:English
Publication year:2022
Tag:Werk150; collaborative data intelligence; digital shadow; digital twin; novel stage gate process; sustainable intelligent products
Page Number:3
DDC classes:004 Informatik
Open access?:Ja
Licence (German):License Logo  Open Access