Eureka - Call for Circular Value Creation Brokerage Event

12 May – 30 Sept 2025

HomeParticipantsMarketplaceAgenda
Register
Register
Register

Fraunhofer IAO

R&D Institution

www.iao.fraunhofer.de/Stuttgart, Germany

About

The Fraunhofer-Gesellschaft is the world's leading organization for application-oriented research. It currently operates 76 institutes in Germany, of which the Fraunhofer Institute for Industrial Engineering IAO in Stuttgart is one. The institute, headed by Prof. Riedel, has been a renowned partner in the fields of business and work organization, technology management and information and communication technology for more than 40 years. The institute examines the potential of innovative forms of organization as well as future-oriented information and communication technologies in order to derive approaches individually adapted to corporate needs. The bundling of management and technology expertise ensures that economic success, the interests of employees and social impact are always given equal consideration. At the Fraunhofer IAO, around 570 employees - mainly engineers, computer scientists, economists and social scientists - work together on an interdisciplinary basis.

Data technologies, data ecosystems and cross-linking

Data ecosystems for the realisation of circular value creation exploiting the full potential of digitalisation – e.g., harnessing existing, purpose-built platform solutions.Approaches to support SME fully exploit the value of existing CVC-related dataDesign of an adaptable Digital Product Pass

Representatives

Adrian Barwasser

Research Fellow

Fraunhofer IAO

Marketplace (1)

  • Project cooperation

    Digital Twins for Remanufacturing

    Use data of digital twins to optimize R-Strategies and automate disassembly of products. Remanufacture new products using used components.

    • Already defined
    • Consortium seeks Partners
    • Enabling technologies | Robotic / handling - and assistance systems
    • Data technologies | (AI based) process and system control technologies
    • Data technologies | (AI based) Material and Product Design, Decomposition and Separation
    • Data technologies | Algorithm that shows the (positive) impact of a Circular Economy process or Circular Economy product
    • Enabling technologies | Life cycle assessment / Product life cycle management – e.g., Digital Twin / Digital Product Passport
    • Data technologies | Simulation models and predictive analytics to assess the scalability of circular processes across industries
    • Enabling technologies | Reverse Manufacturing (e.g. adaptive automation for high variance, sorting, sophisticated logistic systems)
    • Enabling technologies | AI-driven diagnostic systems, e.g., for assessing the viability of reused, remanufactured, and recycled components
    • Data technologies | (AI based) recognition systems (e.g. image recognition) to evaluate materials, components and products and determine the best use paths
    • Data technologies | Data ecosystems for the realisation of circular value creation exploiting the full potential of digitalisation – e.g., harnessing existing, purpose-built platform solutions.

    Adrian Barwasser

    Research Fellow at Fraunhofer IAO

    Stuttgart, Germany