Register
Register
Register

Koeun Lee

Circular economy and value chains consultant

Universal Postal Union (UPU)

London, United Kingdom

1 profile visit

My organisation

Established in 1874, the Universal Postal Union (UPU), with its headquarters in the Swiss capital Berne, is the second oldest international organization worldwide. With its 192 member countries, the UPU is the primary forum for cooperation between postal sector players. It helps to ensure a truly universal network of up-to-date products and services. In this way, the organization fulfils an advisory, mediating and liaison role, and provides technical assistance where needed. It sets the rules for international mail exchanges and makes recommendations to stimulate growth in mail, parcel and financial services volumes and improve quality of service for customers.
Read more

About me

Interests

  • circular economy
  • Value chains
  • eee
  • electronics
  • Critical Materials

Marketplace (1)

  • Project cooperation

    Reverse value chain for circular electronics management - supported by postal networks

    Looking for collaborators who work on enabling digital technologies and data ecosystems for reverse logistics and value chains.

    • Early idea
    • Already defined
    • Consortium seeks Partners
    • Enabling technologies | Network design of reverse supply chains
    • 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
    • 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
    Author

    Koeun Lee

    Circular economy and value chains consultant at Universal Postal Union (UPU)

    London, United Kingdom