Project cooperationUpdated on 1 April 2025
Impact Measurement of circular value creation
Researcher at LMU München - Professorship of Innovation, Entrepreneurship and Sustainability
Berlin, Germany
About
The project explores the impact measurement of circular value creation, aiming to quantify the benefits of circular economy practices across environmental, social, and economic dimensions. By developing robust assessment frameworks and key performance indicators (KPIs), the initiative seeks to provide businesses and policymakers with actionable insights. The goal is to enhance transparency, drive sustainability, and support the transition toward a more circular and resource-efficient economy
Stage
- Early idea
Organisation
LMU München - Professorship of Innovation, Entrepreneurship and Sustainability
University
Munich, Germany
Similar opportunities
Expertise
Bridging the gap between water related scientific research and policy-making
BURCU YAZICI
Expert at Turkish Water Institute (SUEN)
İstanbul, Türkiye
Project cooperation
Digital ecosystem for circular value creation
- Early idea
- Consortium seeks Partners
- Data technologies | Assistance and Expert systems
- Data technologies | Design of an adaptable Digital Product Pass:
- Data technologies | (AI based) process and system control technologies
- Data technologies | (AI based) Material and Product Design, Decomposition and Separation
- Data technologies | Approaches to support SME fully exploit the value of existing CVC-related data
- Enabling technologies | (Advanced/smart) Sensors, e.g., enabling materials, components and product flows measurement
- Data technologies | Interoperability of CVC-relevant data ecosystems, quality assurance and traceability across systems
- 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
- Data technologies | Simulation models and predictive analytics to assess the scalability of circular processes across industries
- Enabling technologies | AI-driven diagnostic systems, e.g., for assessing the viability of reused, remanufactured, and recycled components
- 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)
Yoav Nahshon
Team Leader Materials Informatics at Fraunhofer IWM
Freiburg, Germany
Project cooperation
Circular-RUL: Giving Machines a Second Life with Measured Trust
Alireza Ahmadi
Professor-Operation and Maintenance Engineering at Luleå University of Technology-Division of Operation and Maintenance Engineering
Luleå, Sweden