@proceedings{64257,
  editor       = {{Dumitrescu, Roman and Hölzle, Katharina}},
  publisher    = {{Verlagsschriftenreihe des Heinz Nixdorf Instituts}},
  title        = {{{Vorausschau und Technologieplanung - 19. Symposium für Vorausschau und Technologieplanung}}},
  doi          = {{10.17619/UNIPB/1-2467}},
  year         = {{2025}},
}

@inproceedings{61926,
  abstract     = {{<jats:title>ABSTRACT:</jats:title><jats:p>As modern technical systems grow in complexity, ensuring the quality of these systems during early development phases becomes more challenging. This is particularly evident in the development of modern passenger vehicles, where non-functional requirements (NFRs) play a critical role in ensuring that a vehicle operates according to specified standards and expectations, especially across different vehicle configurations and environmental conditions. The introduction of Artificial Intelligence (AI) in automotive engineering has transformed the approach to vehicle system design and development. This paper presents a pipeline for analyzing and generating NFRs for vehicle systems using generative AI-based methods. The pipeline categorizes NFRs, explores their interdependencies with vehicle configurations and environmental conditions, and addresses the completeness of NFRs in relation to specific vehicle use cases. The paper focuses on selecting appropriate NFR types for various use cases, taking into account diverse configurations and environmental factors. Examples of NFRs with varying parameters are provided for an electric vehicle under development at a leading car manufacturer, illustrating the benefit as well as the challenges of applying generative AI to automotive engineering.</jats:p>}},
  author       = {{Bazzal, Mahmoud and Lungu, Adriana and Kruse, Benjamin and Bernijazov, Ruslan and Dumitrescu, Roman}},
  booktitle    = {{Proceedings of the Design Society}},
  issn         = {{2732-527X}},
  pages        = {{449--458}},
  publisher    = {{Cambridge University Press (CUP)}},
  title        = {{{AI-Based Management and Generation Of Non-Functional Requirements in Vehicle Development and Integration}}},
  doi          = {{10.1017/pds.2025.10059}},
  volume       = {{5}},
  year         = {{2025}},
}

@inproceedings{61924,
  abstract     = {{<jats:title>ABSTRACT:</jats:title><jats:p>Model-based Systems Engineering (MBSE) supports managing complex engineering projects. A pivotal element of MBSE is the concept of views which provide tailored representations of a system model to address stakeholder concerns. Despite standards describing the use and generation of views, the adoption and practical implementation of MBSE views and viewpoints in industrial practice remain insufficiently explored. Interviews with German practitioners reveal a disconnect between theory and practice: views and viewpoints and the involvement in MBSE are often limited to technical experts, excluding non-technical stakeholders. High complexity, abstract representations, and tool-related barriers impede broader engagement. The findings suggest stakeholder-specific, accessible visualizations integrated into easy-to-use tools to improve understanding, collaboration, and decision-making.</jats:p>}},
  author       = {{Förster, Felix and Koldewey, Christian and Bernijazov, Ruslan and Dumitrescu, Roman and Bursac, Nikola}},
  booktitle    = {{Proceedings of the Design Society}},
  issn         = {{2732-527X}},
  pages        = {{2531--2540}},
  publisher    = {{Cambridge University Press (CUP)}},
  title        = {{{Navigating viewpoints in MBSE: challenges, potential and pathways for stakeholder participation in industry}}},
  doi          = {{10.1017/pds.2025.10267}},
  volume       = {{5}},
  year         = {{2025}},
}

@inproceedings{61929,
  abstract     = {{<jats:title>ABSTRACT:</jats:title><jats:p>Digital engineering transformation in industrial companies requires addressing diverse needs and their impact on every impacted engineering aspect. This paper analyses Changes initiated by transformation drivers and presents a systematic approach to integrate sustainability into engineering processes and artifacts. As a currently important topic the integration of sustainability data in engineering is used as an example of application. Based on identified use cases, sustainability parameters are derived and linked to engineering data objects to pinpoint their placement within the early product development. The results demonstrate how data-driven approaches enable effective sustainability integration and provide a foundation for future digital engineering transformations due to diverse divers.</jats:p>}},
  author       = {{Wyrwich, Fabian and Könemann, Ulf and Tissen, Denis and Bohnenkamp, Tinus and Hovemann, Aschot and Dumitrescu, Roman}},
  booktitle    = {{Proceedings of the Design Society}},
  issn         = {{2732-527X}},
  pages        = {{1385--1394}},
  publisher    = {{Cambridge University Press (CUP)}},
  title        = {{{Digital engineering transformation for sustainability: an approach to systematically integrate sustainability data in engineering processes}}},
  doi          = {{10.1017/pds.2025.10152}},
  volume       = {{5}},
  year         = {{2025}},
}

@inproceedings{61925,
  abstract     = {{<jats:title>ABSTRACT:</jats:title><jats:p>The increasing complexity of modern product and production system development, driven by dynamic market demands, supply chain disruptions and economic pressures, poses significant challenges for companies. Existing methodologies often fall short due to their domain-specific focus, inconsistent terminology and lack of integration. To address these challenges, this paper presents a taxonomy for integrative product and production system development. The taxonomy systematically structures key elements, dependencies and processes to improve collaboration, decision-making and communication within organisations. Developed iteratively the taxonomy identifies ten core artefacts. It enables organisations to better plan improvements, synchronise development processes, and select appropriate methods and tools.</jats:p>}},
  author       = {{Disselkamp, Jan-Philipp and Seidenberg, Tobias and Westphal, Svenja and Lick, Jonas and Ptock, Lukas and Wyrwich, Fabian and Hovemann, Aschot and Dumitrescu, Roman}},
  booktitle    = {{Proceedings of the Design Society}},
  issn         = {{2732-527X}},
  pages        = {{2121--2130}},
  publisher    = {{Cambridge University Press (CUP)}},
  title        = {{{Integrative and Integrated product and production system development: a taxonomy for managing dependencies and processes}}},
  doi          = {{10.1017/pds.2025.10226}},
  volume       = {{5}},
  year         = {{2025}},
}

@article{61930,
  abstract     = {{<jats:title>ABSTRACT:</jats:title><jats:p>The increasing complexity and connectivity of the mobility system and modern automotive systems, particularly connected autonomous vehicles, demand a paradigm shift toward resilience-by-design to address disruptions in dynamic environments. Unlike established safety and cybersecurity engineering in automotive, resilience engineering has yet to be systematically integrated into development processes. This paper defines resilience using a standard-based definition method, emphasizing disruption tolerance, adaptability, and recoverability. We identify action fields to advance the topic and propose a resilience-by-design framework extending safety and cybersecurity perspectives. Resilience-by-design offers strategies and methods to design robust, adaptive systems, ensuring reliability and availability of automotive systems, functions, and components in operation.</jats:p>}},
  author       = {{Bita, Isaac Mpidi and Hovemann, Aschot and Dumitrescu, Roman}},
  issn         = {{2732-527X}},
  journal      = {{Proceedings of the Design Society}},
  pages        = {{2781--2790}},
  publisher    = {{Cambridge University Press (CUP)}},
  title        = {{{Resilience-By-Design: Standard-based definition of Resilience and identification of action fields for the systems design of mobility system}}},
  doi          = {{10.1017/pds.2025.10292}},
  volume       = {{5}},
  year         = {{2025}},
}

@inproceedings{61927,
  abstract     = {{<jats:title>ABSTRACT:</jats:title><jats:p>Cyber-physical production systems (CPPS) are responsible for a significant portion of manufacturers’ carbon emissions. Since 80% of product-related environmental impacts are determined at the design stage, there is a need for CPPS manufacturers to focus on decarbonization at the design stage. To date, there is a lack of design-for-decarbonization guidance for CPPS. This paper proposes a procedural framework for the effective selection of decarbonization measures for the design of CPPS. A Decarbonization Wheel is developed to establish a product-specific decarbonization strategy. This tool is linked to a catalogue of decarbonization measures. A measure prioritization logic provides a structure for systematizing selected measures. The framework is validated in the case of an intelligent industrial control valve.</jats:p>}},
  author       = {{Schreiner, Nick and Cowen, Adam and Volling, Thomas and Dumitrescu, Roman}},
  booktitle    = {{Proceedings of the Design Society}},
  issn         = {{2732-527X}},
  pages        = {{1295--1304}},
  publisher    = {{Cambridge University Press (CUP)}},
  title        = {{{Design-for-decarbonization: a framework for decarbonizing cyber-physical production systems at the design stage}}},
  doi          = {{10.1017/pds.2025.10143}},
  volume       = {{5}},
  year         = {{2025}},
}

@article{61923,
  author       = {{Özcan, Leon and Petzke, Lisa Irene and Dumitrescu, Roman and Koldewey, Christian}},
  issn         = {{0360-8581}},
  journal      = {{IEEE Engineering Management Review}},
  pages        = {{1--13}},
  publisher    = {{Institute of Electrical and Electronics Engineers (IEEE)}},
  title        = {{{Design options to shape platform success in B2B markets throughout the platform lifecycle}}},
  doi          = {{10.1109/emr.2025.3608788}},
  year         = {{2025}},
}

@inproceedings{61951,
  abstract     = {{<jats:title>ABSTRACT:</jats:title><jats:p>Digital transformation has reshaped the manufacturing sector, driving innovation and new business models. Simultaneously, sustainability pressures and stricter regulations push companies to adopt circular economy (CE) principles, focusing on reducing, reusing, and recycling materials. This transition requires adapting business models, product design, and management while integrating processes such as reverse logistics. Digital technologies play a crucial role by enabling data generation, processing, and analysis, optimizing production, and reducing resource use. However, many companies face knowledge gaps regarding how to implement these technologies effectively for CE. This study addresses these challenges through a systematic literature review, offering a framework that links digital technologies to CE principles, focusing on slowing, narrowing, and closing material loops.</jats:p>}},
  author       = {{Scholtysik, Michel and Rasor, Anja and Petzke, Lisa Irene and Koldewey, Christian and Dumitrescu, Roman}},
  booktitle    = {{Proceedings of the Design Society}},
  issn         = {{2732-527X}},
  pages        = {{541--550}},
  publisher    = {{Cambridge University Press (CUP)}},
  title        = {{{An integrative perspective on digital technologies and circular economy: a systematic literature review}}},
  doi          = {{10.1017/pds.2025.10068}},
  volume       = {{5}},
  year         = {{2025}},
}

@inproceedings{61948,
  abstract     = {{<jats:title>ABSTRACT:</jats:title><jats:p>Sustainability is no longer just a trend for companies, but is now seen as a mandatory measure for the environmentally friendly and responsible use of existing resources. The Digital Product Passport (DPP) is a transformative tool that aims to increase transparency and promote sustainability throughout the product lifecycle. This paper presents the 150% Information List, a comprehensive framework to help companies identify mandatory and optional data for the DPP. Using a systematic literature review, grey literature analysis and interviews with industry stakeholders, the study compiles 148 data points grouped by product relevance, availability and life cycle phase. The findings highlight the flexibility of the list to adapt to different industries and underline its potential to optimise resource use, meet regulatory requirements and drive innovation in product development.</jats:p>}},
  author       = {{Trienens, Malte and Orlowski, Valentin and Schröder, Luca and Hovemann, Aschot and Dumitrescu, Roman}},
  booktitle    = {{Proceedings of the Design Society}},
  issn         = {{2732-527X}},
  pages        = {{2093--2100}},
  publisher    = {{Cambridge University Press (CUP)}},
  title        = {{{Information management for the digital product passport: a 150% approach}}},
  doi          = {{10.1017/pds.2025.10223}},
  volume       = {{5}},
  year         = {{2025}},
}

@inproceedings{61949,
  abstract     = {{<jats:title>ABSTRACT:</jats:title><jats:p>Facing increasingly dynamic market environments and global challenges such as climate change and resource scarcity, companies are under constant pressure to innovate and remain competitive. As technology is a key enabler, companies need to understand the drivers of technological change. Technology Foresight systematically identifies and analyzes emerging technologies to support engineering design decisions. However, the growing volume of data is outpacing manual processing capabilities. This research explores the integration of Generative AI to enhance Technology Foresight by automating technology analysis and information synthesis. This paper presents a comprehensive problem analysis, reviews existing solutions, and proposes a framework that demonstrates the potential of Large Language Models combined with a Retrieval Augmented Generation architecture to transform Technology Foresight.</jats:p>}},
  author       = {{Ellermann, Kai and Seidenberg, Tobias and Asmar, Laban and Knepler, Jonas and Dumitrescu, Roman}},
  booktitle    = {{Proceedings of the Design Society}},
  issn         = {{2732-527X}},
  pages        = {{2221--2230}},
  publisher    = {{Cambridge University Press (CUP)}},
  title        = {{{Leveraging GenAI for technology foresight}}},
  doi          = {{10.1017/pds.2025.10236}},
  volume       = {{5}},
  year         = {{2025}},
}

@inproceedings{61952,
  author       = {{Wani, Bhavesh and Yee, Jingye and Eckertz, Daniel and Seidenberg, Tobias and Dumitrescu, Roman}},
  booktitle    = {{Seventeenth International Conference on Digital Image Processing (ICDIP 2025)}},
  editor       = {{Jiang, Xudong and Tian, Jindong and Poon, Ting-Chung and Wang, Zhaohui}},
  publisher    = {{SPIE}},
  title        = {{{Real-time object detection and localization for airport aprons}}},
  doi          = {{10.1117/12.3072877}},
  year         = {{2025}},
}

@inproceedings{61956,
  author       = {{Grote, Eva-Maria and Koldewey, Christian and Schwarz, Stefan Eric and Dumitrescu, Roman and Albers, Albert}},
  booktitle    = {{2025 IEEE International Conference on Engineering, Technology, and Innovation (ICE/ITMC)}},
  publisher    = {{IEEE}},
  title        = {{{Enabling Better Systems Through Better Teams: 27 Role Profiles for Engineering Advanced Systems}}},
  doi          = {{10.1109/ice/itmc65658.2025.11106533}},
  year         = {{2025}},
}

@inproceedings{61954,
  author       = {{Fichtler, Timm and Petzke, Lisa Irene and Grigoryan, Khoren and Dumitrescu, Roman and Koldewey, Christian}},
  booktitle    = {{2025 IEEE International Conference on Engineering, Technology, and Innovation (ICE/ITMC)}},
  publisher    = {{IEEE}},
  title        = {{{Digital Transformation of Organizational Entities}}},
  doi          = {{10.1109/ice/itmc65658.2025.11106627}},
  year         = {{2025}},
}

@article{61957,
  author       = {{Rasor, Anja and Koldewey, Christian and Dumitrescu, Roman}},
  journal      = {{Nachhaltige Industrie}},
  number       = {{2}},
  pages        = {{40--43}},
  publisher    = {{Springer Fachmedien Wiesbaden}},
  title        = {{{Mit digitalen Hebeln zur Kreislaufwirtschaft: Mit digitalen Hebeln zur Kreislaufwirtschaft}}},
  volume       = {{6}},
  year         = {{2025}},
}

@article{61989,
  abstract     = {{<jats:title>Abstract</jats:title>
               <jats:p>Große Sprachmodelle wie GPT-4 bieten erhebliche Potenziale für das Systems Engineering. Prompt-Engineering ermöglicht einen flexiblen Einsatz im Anforderungsmanagement, Systementwurf und in der Integration, Verifikation und Validierung ohne aufwendiges Modelltraining. Die Formulierung von Prompts und die Anwendung fortschrittlicher Techniken erfordern jedoch tiefes Domänenwissen. Der Beitrag zeigt Potenziale und Herausforderungen dieser Technik auf und illustriert praktische Anwendungsbeispiele</jats:p>}},
  author       = {{Hovemann, Aschot and Bita, Isaac Mpidi and Aldade, Abed Alrahman and von Heißen, Oliver and Dumitrescu, Roman}},
  issn         = {{2511-0896}},
  journal      = {{Zeitschrift für wirtschaftlichen Fabrikbetrieb}},
  number       = {{s1}},
  pages        = {{101--106}},
  publisher    = {{Walter de Gruyter GmbH}},
  title        = {{{Prompt Engineering im Systems Engineering}}},
  doi          = {{10.1515/zwf-2024-0139}},
  volume       = {{120}},
  year         = {{2025}},
}

@inproceedings{61988,
  author       = {{Weller, Julian and Lick, Jonas and Brock, Jonathan and Heuwinkel, Tim and Hartmann, Stefan and Kühn, Arno and von Enzberg, Sebastian and Dumitrescu, Roman}},
  booktitle    = {{Procedia CIRP}},
  issn         = {{2212-8271}},
  pages        = {{223--228}},
  publisher    = {{Elsevier BV}},
  title        = {{{Advanced Analytics Capability Map for Smart Factories: Supporting the Planning, Design, Management and Operations of Advanced Analytics Use Cases}}},
  doi          = {{10.1016/j.procir.2025.03.025}},
  volume       = {{134}},
  year         = {{2025}},
}

@inproceedings{61973,
  author       = {{Grigoryan, Khoren and Martin, Lucas and Lamarz, Jessica and Fichtler, Timm and Hohn, Bennett and Asmar, Laban and Kühn, Arno and Dumitrescu, Roman}},
  booktitle    = {{Procedia CIRP}},
  issn         = {{2212-8271}},
  pages        = {{838--843}},
  publisher    = {{Elsevier BV}},
  title        = {{{Product Management: Tasks, Roles, and the Importance of Data}}},
  doi          = {{10.1016/j.procir.2025.08.143}},
  volume       = {{136}},
  year         = {{2025}},
}

@inproceedings{61985,
  author       = {{Petzke, Lisa Irene and Rasor, Anja and Koldewey, Christian and Dumitrescu, Roman}},
  booktitle    = {{Procedia CIRP}},
  issn         = {{2212-8271}},
  pages        = {{912--917}},
  publisher    = {{Elsevier BV}},
  title        = {{{Untangling circular value networks - mechanisms, advantages, risks, and future research}}},
  doi          = {{10.1016/j.procir.2025.01.081}},
  volume       = {{135}},
  year         = {{2025}},
}

@inproceedings{61987,
  author       = {{Könemann, Ulf and Niemeyer, Marcel and Schierbaum, Anja and Dumitrescu, Roman}},
  booktitle    = {{Procedia CIRP}},
  issn         = {{2212-8271}},
  pages        = {{765--770}},
  publisher    = {{Elsevier BV}},
  title        = {{{A serious game to introduce Systems Engineering in interdisciplinary teams}}},
  doi          = {{10.1016/j.procir.2025.02.195}},
  volume       = {{134}},
  year         = {{2025}},
}