Empowering End-of-Life Vehicle Decision Making with Cross-Company Data Exchange and Data Sovereignty via Catena-X

Author:

Mügge Janine1ORCID,Grosse Erdmann Julian2,Riedelsheimer Theresa1,Manoury Marvin Michael1,Smolka Sophie-Odette3,Wichmann Sabine4,Lindow Kai1ORCID

Affiliation:

1. Fraunhofer Institute for Production Systems and Design Technology IPK, 10587 Berlin, Germany

2. Fraunhofer Institute for Manufacturing Engineering and Automation IPA, 70569 Stuttgart, Germany

3. LRP-Autorecycling Leipzig GmbH, 04509 Krostitz, Germany

4. SAP Global Innovation Services & Solutions, 14469 Potsdam, Germany

Abstract

The mobility sector is the world’s second-largest producer of energy-related CO2 emissions, and it is facing a global resource shortage. The demand for circular products, the use of secondary materials in future vehicles, and the need for sustainable business models in the mobility sector is increasing. However, a transparent and end-to-end data exchange throughout the entire value network is missing, which is hindering an efficient circular economy. Relevant information on the vehicle, its components, and materials at the end of the product life cycle are often missing. In this context, this paper presents a decision support system based on Digital Twin data for a circular economy solution as a software application. It was developed within the German research project Catena-X following an integrated approach of user-centered design, the V-model, and within the Scaled Agile Framework. By combining these methodological approaches, customer-oriented solutions were developed and continuously improved at each stage of development to shorten the time-to-market. Catena-X is based on Gaia-X principles. In Gaia-X, necessary core services are developed, and contraction negotiation for data exchange and usage policies is enabled and implemented. The decision support system provides important information about the exact composition and condition of the vehicle, its components, and its materials. Thus, it helps to improve efficiency, sustainability, and the implementation of the circular economy. The decision support system was tested and validated with a use case that provided Digital Twin data on the end-of-life vehicle.

Funder

Federal Ministry for Economic Affairs and Climate Action

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction

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