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ExpertiseUpdated on 2 July 2025

Design for Circular Products and Service-Systems

Emese Papp-Schmitt

Research Associate | Chair of Industrial Design Engineering at Technische Universität Dresden

Dresden, Germany

About

We specialize in design approaches that support sustainability and circularity across products, service-systems, and socio-technical transitions. Our work bridges design, engineering, and psychology, focusing on both the environmental impact of products and the human behaviors that shape their use and lifespan.

In the field of circular product and service design, we apply:

  • Circular Product Design (R-strategies, Circular Economy principles)

  • Sustainability assessment methods (e.g. Life Cycle Assessment, criteria- and indicator-based frameworks)

  • Design for Sustainability (DfS)

  • Design for Sustainable Behavior (DfSB) and Design for Behavior Change (DfBC)

  • Green Nudging strategies

  • User-centered product development and prototyping (e.g. in packaging, plastic recycling, HMI, electronics)

In parallel, we develop and apply co-design methods for transdisciplinary research to address the complexity of sustainability transitions. This involves integrating diverse perspectives and knowledge types through collaborative processes, aiming to ensure procedural justice and locally adapted solutions.

Key methods include:

  • Co-Design in Transdisciplinary Research

  • Participatory Design and Social Learning

  • Transition Design / Design for Sustainability Transitions

  • Development and facilitation of actor- and context-specific co-design tools

  • Exploratory qualitative research and empirical design studies

We also teach courses on circular design, sustainability methods, and empirical research for designers.

Field

  • (AI based) Material and Product Design
  • Life cycle assessment / Product life cycle management

Organisation

Technische Universität Dresden

University

Dresden, Germany

Similar opportunities

  • Expertise

    Urban Transformation & Circular Design

    • Data ecosystems
    • Reverse Manufacturing
    • Industry 4.0 technologies
    • Manufacturing and machine learning
    • (AI based) Material and Product Design
    • Network design of reverse supply chains
    • (Advanced) Materials and additive manufacturing
    • Life cycle assessment / Product life cycle management

    Annika Greven

    Researcher at Wuppertal Institut für Klima, Umwelt, Energie

    Wuppertal, Germany

  • Expertise

    Offering: (Circular) Design // Sustainability Assessment (LCA, ToC, etc.)

    Dr. Manuel Bickel

    Co-Head Research Unit Consumption and Production Systems at Wuppertal Institut für Klima, Umwelt, Energie

    Wuppertal, Germany

  • Project cooperation

    Circular Adaptation for Road Vehicle Sustainability (CARS)

    • Early idea
    • Already defined
    • Consortium seeks Partners
    • Enabling technologies | Network design of reverse supply chains
    • 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
    • Enabling technologies | Tools and solutions addressing challenges emerging from product focused regulations (such as the ESPR)
    • 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 | 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)

    Alireza Ahmadi

    Professor-Operation and Maintenance Engineering at Luleå University of Technology-Division of Operation and Maintenance Engineering

    Luleå, Sweden