@inproceedings{64820,
  abstract     = {{Political goals, emerging EU sustainability regulations, and industrial digitalization are driving the introduction of Digital Product Passports (DPPs) to enhance transparency, traceability, and compliance across product life cycles. However, the appropriate granularity of DPP integration across product architectures remains ambiguous. This paper introduces a structured, decision-oriented framework that links product structure, regulatory relevance, and information depth to define consistent DPP levels, supporting both industry implementation and future standardization.}},
  author       = {{Rohde, Katharina and Budde, Finn Lukas and Patrício, Bárbara and Ferreira, Tânia and Gonçalves, Ana and Ott, Manuel and Mozgova, Iryna}},
  booktitle    = {{Proceedings of the Design Society}},
  keywords     = {{digital product passport, product architecture, circular economy, information granularity, decision-making framework}},
  location     = {{Cavtat, Dubrovnik, Croatia}},
  title        = {{{Digital product passports and the challenge of product structure granularity: A decision-making framework for the level of DPP integration}}},
  volume       = {{6}},
  year         = {{2026}},
}

@inbook{59217,
  abstract     = {{In the face of climate change and growing sustainability awareness, industrial companies are at a pivotal point in transforming from a linear to a circular economy (CE) model. Yet, aligning their business with the principles of the CE is a challenging task. Utilizing a systematic literature review (SLR) and thematic analysis a framework for the business transformation towards the CE has been developed. It considers the dimensions product, business strategy, corporate management, and value chain. The circular business transformation (CBT) framework includes incentives for entering the CE, fields of action, design options, and associated challenges. For researchers, it provides a comprehensive overview and serves as a basis for in-depth studies of each dimension of CBT. Furthermore, it acts as a practical guide that enables industrial companies to strategically navigate through the complexity of the CBT and to effectively design it.}},
  author       = {{Rasor, Anja and Petzke, Lisa Irene and Scholtysik, Michel and Koldewey, Christian and Dumitrescu, Roman}},
  booktitle    = {{Springer Proceedings in Business and Economics}},
  isbn         = {{9783031724893}},
  issn         = {{2198-7246}},
  keywords     = {{Circular Economy, Circularity, Holistic View, Circular Transformation, Circular Management}},
  publisher    = {{Springer Nature Switzerland}},
  title        = {{{Framework for the Business Transformation Towards the Circular Economy: A Systematic Literature Review}}},
  doi          = {{10.1007/978-3-031-72490-9_18}},
  year         = {{2025}},
}

@inproceedings{46451,
  abstract     = {{New technologies and materials carry significant potential for sustainable production and use of products. As an example, Additive Manufacturing technologies and materials promise lightweight design and energy efficient use of parts. Exhausting the full potential requires: a) consideration of uncertainties with respect to future capabilities, and b) upgradeable design guidelines to cover advancements consistently. The proposed approach merges concepts of Design-for-X with foresight algorithms of Scenario-Technique to derive actionable knowledge. It is validated by an application in the field of Additive Manufacturing, namely Metal Fused Deposition Modelling. Engineers benefit from the intuitive access to heterogeneous types of sustainability related information.}},
  author       = {{Gräßler, Iris and Mozgova, Iryna and Pottebaum, Jens and Ott, Manuel and Jung, Philipp and Hesse, Philipp}},
  booktitle    = {{17th CIRP Conference on Intelligent Computation in Manufacturing Engineering}},
  keywords     = {{Design-for-X, Scenario-Technique, sustainability, uncertainty, Life-Cycle Engineering, Additive Manufacturing, Circular Economy}},
  location     = {{Gulf of Naples}},
  pages        = {{549--554}},
  publisher    = {{Elsevier}},
  title        = {{{Handling of uncertainties in the design of sustainable Additive Manufacturing products by merging Design-for-X and Scenario-Technique}}},
  doi          = {{10.1016/j.procir.2024.08.238}},
  volume       = {{126}},
  year         = {{2024}},
}

@inproceedings{46219,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>To select design guidelines engineers have to identify relevant from a bewildering amount of design guidelines. In this paper, a rule-based method for selecting design guidelines for material circularity selection is presented. For this purpose, a generic Product Life Cycle model is detailed with regard to Multi Material cycles (gPLC-MM). The presented method is divided into four steps. Core of the presented method is the comparison of circular product strategies with product life phases and material recovery processes. Engineering activities and increments of the product architecture are used to identify design guidelines. The results show that through the material circularity-oriented design guideline identification method, the product architecture is designed for different processes and technologies, to recover materials. The method allows engineers to select guidelines in a more targeted and consolidated way in sustainability-friendly product engineering.</jats:p>}},
  author       = {{Gräßler, Iris and Hesse, Philipp}},
  booktitle    = {{Proceedings of the Design Society}},
  issn         = {{2732-527X}},
  keywords     = {{Sustainability, Circular economy, Conceptual design}},
  location     = {{Bordeaux, France}},
  pages        = {{1077--1086}},
  publisher    = {{Cambridge University Press (CUP)}},
  title        = {{{CONSIDERING ENGINEERING ACTIVITIES AND PRODUCT CHARACTERISTICS TO ACHIEVE MATERIAL CIRCULARITY BY DESIGN}}},
  doi          = {{10.1017/pds.2023.108}},
  volume       = {{3}},
  year         = {{2023}},
}

@article{45782,
  abstract     = {{<jats:p>The development of automotive components with reduced greenhouse gas (GHG) emissions is needed to reduce overall vehicle emissions. Life Cycle Engineering (LCE) based on Life Cycle Assessment (LCA) supports this by providing holistic information and improvement potentials regarding eco-efficient products. Key factors influencing LCAs of automotive components, such as material production, will change in the future. First approaches for integrating future scenarios for these key factors into LCE already exist, but they only consider a limited number of parameters and scenarios. This work aims to develop a method that can be practically applied in the industry for integrating prospective LCAs (pLCA) into the LCE of automotive components, considering relevant parameters and consistent scenarios. Therefore, pLCA methods are further developed to investigate the influence of future scenarios on the GHG emissions of automotive components. The practical application is demonstrated for a vehicle component with different design options. This paper shows that different development paths of the foreground and background system can shift the ecological optimum of design alternatives. Therefore, future pathways of relevant parameters must be considered comprehensively to reduce GHG emissions of future vehicles. This work contributes to the methodological and practical integration of pLCA into automotive development processes and provides quantitative results.</jats:p>}},
  author       = {{Grenz, Julian and Ostermann, Moritz and Käsewieter, Karoline and Cerdas, Felipe and Marten, Thorsten and Herrmann, Christoph and Tröster, Thomas}},
  issn         = {{2071-1050}},
  journal      = {{Sustainability}},
  keywords     = {{prospective LCA, life cycle engineering (LCE), lightweight design, automotive components, body parts, circular economy, steel, aluminum, hybrid materials, fiber metal laminates}},
  number       = {{13}},
  publisher    = {{MDPI AG}},
  title        = {{{Integrating Prospective LCA in the Development of Automotive Components}}},
  doi          = {{10.3390/su151310041}},
  volume       = {{15}},
  year         = {{2023}},
}