Fraunhofer IPK provides comprehensive support to companies from product development, planning and control of machines and systems, including technologies for parts manufacturing, to comprehensive automation and management of factory operations. We also transfer production engineering solutions to areas of application outside industry, such as traffic and safety.
As an institute of the Fraunhofer-Gesellschaft, we tailor our work to fit the needs and requirements of our customers and partners. With its market orientation and high real-world value, our R & D helps to sharpen their long-term competitive edge. We develop forward-looking novel solutions and modernize, optimize and upgrade existing technologies and applications.
At Fraunhofer IPK, we are realizing the vision of a complete digitalization of product development and planning processes – so that you as a manufacturer or user can consider the later phases of your product's life cycle at an early stage.
In Digital Engineering, we are advancing innovative solutions along the dimensions of intelligent integration, to design individually and efficiently adapted and interoperable IT systems landscapes, sustainable product ecosystems, to consider, model and assess global interconnections of systems and their environment, as well as the extended reality, to create interactive, user-centered immersive environments in an engineering metaverse.
Goal: Unlock circular value in the white goods industry with AI and DPP.
Seeking OEM, remanufacturing & tech partners in industry/academia.
Early idea
Already defined
Consortium seeks Partners
Data technologies | Assistance and Expert systems
Data technologies | Design of an adaptable Digital Product Pass:
Enabling technologies | Robotic / handling - and assistance systems
Data technologies | Algorithm that shows the (positive) impact of a Circular Economy process or Circular Economy product
Enabling technologies | Industry 4.0 technologies (IoT, big data analytics) for monitoring and managing circular value chains
Enabling technologies | Life cycle assessment / Product life cycle management – e.g., Digital Twin / Digital Product Passport
Enabling technologies | Tools and solutions addressing challenges emerging from product focused regulations (such as the ESPR)
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.
Enabling technologies | Manufacturing and machine learning, e.g., to increase the flexibility of industrial processes, modular approaches, reduce use of materials, quality assurance and certification of products)