@article{65856,
  author       = {{Trienens, Malte and Busch, Vanessa and Wyrwich, Fabian and Hovemann, Aschot and Dumitrescu, Roman}},
  issn         = {{2212-8271}},
  journal      = {{Procedia CIRP}},
  pages        = {{1070--1075}},
  publisher    = {{Elsevier BV}},
  title        = {{{Unleashing the Potential of the Digital Product Passport in Engineering: A Structured Map for Sustainable Product Design}}},
  doi          = {{10.1016/j.procir.2026.05.394}},
  volume       = {{142}},
  year         = {{2026}},
}

@article{65837,
  author       = {{Vehmeyer, Julia Marie and Petzke, Lisa Irene and Koldewey, Christian and Dumitrescu, Roman}},
  issn         = {{2212-8271}},
  journal      = {{Procedia CIRP}},
  pages        = {{863--868}},
  publisher    = {{Elsevier BV}},
  title        = {{{The fellowship of the circle: Barriers to establishing partnerships for circular value creation}}},
  doi          = {{10.1016/j.procir.2026.05.145}},
  volume       = {{140}},
  year         = {{2026}},
}

@inproceedings{65854,
  author       = {{Wyrwich, Fabian and Trienens, Malte and Hovemann, Aschot and Dumitrescu, Roman}},
  booktitle    = {{2025 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD)}},
  publisher    = {{IEEE}},
  title        = {{{Fields of Action of a Digital Engineering Transformation Framework}}},
  doi          = {{10.1109/ictmod66732.2025.11371934}},
  year         = {{2026}},
}

@article{59512,
  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}},
}

@article{59513,
  abstract     = {{<jats:title>Abstract</jats:title>
               <jats:p>The increasing complexity of modern technical systems necessitates innovative approaches such as Model-Based Systems Engineering (MBSE). In this context, using Artificial Intelligence (AI) emerges as a key enabler for practical application and efficiency improvement. This article introduces a maturity model for AI-based assistance systems in MBSE. It helps companies assess their current automation level in MBSE activities, providing a foundation for strategic planning of process improvements.</jats:p>}},
  author       = {{Bernijazov, Ruslan and Dumitrescu, Roman and Hanke, Fabian and von Heißen, Oliver and Kaiser, Lydia and Tissen, Denis}},
  issn         = {{2511-0896}},
  journal      = {{Zeitschrift für wirtschaftlichen Fabrikbetrieb}},
  number       = {{s1}},
  pages        = {{96--100}},
  publisher    = {{Walter de Gruyter GmbH}},
  title        = {{{AI-Augmented Model-Based Systems Engineering}}},
  doi          = {{10.1515/zwf-2024-0123}},
  volume       = {{120}},
  year         = {{2025}},
}

@inproceedings{59514,
  author       = {{Humpert, Lynn and Zagatta, Kristin and Anacker, Harald and Dumitrescu, Roman}},
  booktitle    = {{Proceedings of the 2024 7th International Conference on Computational Intelligence and Intelligent Systems}},
  publisher    = {{ACM}},
  title        = {{{Systems Engineering and Validation: A systematic literature review}}},
  doi          = {{10.1145/3708778.3708793}},
  year         = {{2025}},
}

@inbook{60156,
  author       = {{Ködding, Patrick and Jahn, Mathis and Dumitrescu, Roman and Koldewey, Christian}},
  booktitle    = {{New Digital Work II - Digital Sovereignty of Companies and Organizations}},
  editor       = {{Schmuntzsch, Ulrike and Shajek, Alexandra and Hartmann, Ernst Andreas}},
  isbn         = {{9783031699931}},
  pages        = {{93--108}},
  publisher    = {{Springer Nature Switzerland}},
  title        = {{{Challenges for Scenario-Based Foresight and Potential for Digital Technologies: Insights from Practice}}},
  doi          = {{10.1007/978-3-031-69994-8}},
  year         = {{2025}},
}

@inproceedings{60160,
  author       = {{Förster, Felix and Bausen, Steffen and Bernijazov, Ruslan and Koldewey, Christian and Dumitrescu, Roman and Bursac, Nikola}},
  booktitle    = {{Stuttgarter Symposium für Produktentwicklung SSP 2025}},
  editor       = {{Hölzle, Katharina and Kreimeyer, Matthias and Roth, Daniel and Maier, Thomas and Riedel, Oliver}},
  location     = {{Stuttgart}},
  pages        = {{102--113}},
  publisher    = {{Fraunhofer IAO, Stuttgart}},
  title        = {{{Chances of smart Views: Integration of Stakeholder perspectives using videobased Views in MBSE}}},
  doi          = {{10.18419/opus-16366}},
  year         = {{2025}},
}

@techreport{63650,
  author       = {{Kaufmann, Jonas and Schreiner, Nick and Koldewey, Christian and Fichtler, Timm and Sommer, Franziska and Sedlmeier, Joachim and Hocken, Christian and Rabe, Martin and Kühn, Arno}},
  title        = {{{Breaking Barriers: Implementing IoT-enabled Smart Services for Competitive Advantage}}},
  doi          = {{10.13140/RG.2.2.19531.50723}},
  year         = {{2025}},
}

@techreport{63651,
  author       = {{Grigoryan, Khoren and Lamarz, Jessica and Martin, Lucas and Asmar, Laban and Rabe, Martin and Kühn, Arno and Fichtler, Timm and Petzke, Lisa Irene and Bruchhage, Felix and Koldewey, Christian}},
  title        = {{{product.intelligence - Datenbasiertes Produktmanagement}}},
  doi          = {{10.24406/PUBLICA-4198}},
  year         = {{2025}},
}

@inproceedings{58763,
  abstract     = {{Utilizing data is crucial for economic success, but a lack of interoperability and concerns about the misuse of ones own data are hindering the cross-organizational use of data. Dataspaces provide the infrastructure necessary to integrate heterogeneous data sources within an organization or ecosystem, enabling seamless data interaction and interoperability. In addition, data spaces strengthen data sovereignty through their decentralized nature, which enables organizations to effectively control and manage their data. However, challenges persist in managing the complexity and dynamic nature of dataspaces, requiring significant resources and technical expertise. The decentralized nature leads to a large and diverse number of stakeholders, who need to agree on the use and scope of a dataspace. Modeling is a common approach to cope with technical complexity and heterogeneous stakeholders. In this paper, we propose a version of SysML and a corresponding method that focus on the modelling of data spaces. We provide a dataspace modelling method to unify the understanding of dataspaces and scope among all stakeholders to simplify the design and development process.}},
  author       = {{Kulkarni, Pranav Jayant and Zerbin, Julian and Koldewey, Christian and Bernijazov, Ruslan and Dumitrescu, Roman}},
  booktitle    = {{2024 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD)}},
  keywords     = {{Dataspaces, Modelling, SysML, Gaia-X, System Specification}},
  location     = {{Sharjah, United Arab Emirates }},
  publisher    = {{IEEE}},
  title        = {{{Using SysML as a Modelling Language for Dataspaces}}},
  doi          = {{10.1109/ictmod63116.2024.10878227}},
  year         = {{2025}},
}

@inproceedings{64219,
  author       = {{Graunke, Jannis and Bita, Isaac Mpidi and Hermelingmeier, Dominik and Humpert, Lynn and Schierbaum, Anja and Dumitrescu, Roman}},
  booktitle    = {{2025 IEEE International Conference on Recent Advances in Systems Science and Engineering (RASSE)}},
  publisher    = {{IEEE}},
  title        = {{{Evolving Modularity: Rethinking Architecture in Product and Organizational Systems}}},
  doi          = {{10.1109/rasse64831.2025.11315315}},
  year         = {{2025}},
}

@inproceedings{64220,
  author       = {{Disselkamp, Jan-Philipp and Seidenberg, Tobias and Lick, Jonas and Dumitrescu, Roman}},
  booktitle    = {{2025 IEEE International Conference on Recent Advances in Systems Science and Engineering (RASSE)}},
  publisher    = {{IEEE}},
  title        = {{{24 Reasons for the Failure of Integrative and Integrated Product and Production System Development Methods}}},
  doi          = {{10.1109/rasse64831.2025.11315397}},
  year         = {{2025}},
}

@article{64222,
  author       = {{Ködding, Patrick and Koldewey, Christian and Dumitrescu, Roman}},
  issn         = {{0360-8581}},
  journal      = {{IEEE Engineering Management Review}},
  pages        = {{1--9}},
  publisher    = {{Institute of Electrical and Electronics Engineers (IEEE)}},
  title        = {{{Tailoring scenario projects with method and tool building blocks}}},
  doi          = {{10.1109/emr.2025.3646110}},
  year         = {{2025}},
}

@inproceedings{64229,
  abstract     = {{<jats:title>ABSTRACT:</jats:title><jats:p>This paper presents the MBSE-Graph-RAG framework to address key challenges in Model-Based Systems Engineering (MBSE). Traditional MBSE tools suffer from usability barriers, limited accessibility, and integration challenges. By combining knowledge graphs with Retrieval-Augmented Generation (RAG), the proposed framework enables AI-Augmented engineering through natural language interactions and automated system architecture generation. A systematic literature review establishes a solid research foundation, identifying gaps in AI-assisted MBSE. Key contributions include a structured MBSE-Graph interface, improved usability via Large Language Models (LLMs), and automated graph construction aligned with SysML. A proof-of-concept demonstrates the potential of this approach to enhance MBSE by reducing complexity, improving data accessibility, and supporting engineering collaboration.</jats:p>}},
  author       = {{Hanke, Fabian and Mpidi Bita, Isaac  and von Heißen, Oliver  and Weller, Julian and Hovemann, Aschot and Dumitrescu, Roman}},
  booktitle    = {{Proceedings of the Design Society}},
  issn         = {{2732-527X}},
  pages        = {{439--448}},
  publisher    = {{Cambridge University Press (CUP)}},
  title        = {{{AI-augmented systems engineering: conceptual application of retrieval-augmented generation for model-based systems engineering graph}}},
  doi          = {{10.1017/pds.2025.10058}},
  volume       = {{5}},
  year         = {{2025}},
}

@article{64253,
  abstract     = {{<jats:p>This paper presents a comprehensive design framework for Enterprise Architecture aimed at facilitating decision-driven analytics in smart factories. The motivation behind this research lies in challenges faced by manufacturing companies, such as skilled labor shortages and increasing global competition, alongside the imperative for sustainable production. This journal provides a novel approach for designing and documenting prescriptive analytics use cases in manufacturing environments. The framework addresses the need for effective integration of advanced data analytics and prescriptive analytics solutions within existing production environments, thereby enhancing operational efficiency and decision-making processes. A Design Science Research approach is used to iteratively derive a framework based on stakeholder needs and activities along the prescriptive analytics use case development cycle. The resulting framework is demonstrated and evaluated in an IoT Factory setup in a research facility. From a practical perspective, the framework supports manufacturing companies in systematically designing prescriptive analytics use cases. From a research perspective, it contributes to the body of knowledge on Enterprise Architecture Management (EAM) by operationalizing the design of prescriptive analytics use cases in manufacturing contexts. The main contributions of this study include the development of a framework that supports the planning, design, and integration of prescriptive analytics use cases. This framework fosters interdisciplinary collaboration and aids in managing the complexity of data-driven projects.</jats:p>}},
  author       = {{Weller, Julian and Dumitrescu, Roman}},
  issn         = {{2079-9292}},
  journal      = {{Electronics}},
  number       = {{21}},
  publisher    = {{MDPI AG}},
  title        = {{{Decision-Driven Analytics in Smart Factories: Enterprise Architecture Framework for Use Case Specification and Engineering (FUSE)}}},
  doi          = {{10.3390/electronics14214271}},
  volume       = {{14}},
  year         = {{2025}},
}

@inproceedings{64252,
  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}},
}

@inproceedings{59517,
  author       = {{Lick, Jonas and Kattenstroth, Fiona and Trienens, Malte and Disselkamp, Jan-Philipp and Kühn, Arno and Dumitrescu, Roman}},
  booktitle    = {{2024 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD)}},
  publisher    = {{IEEE}},
  title        = {{{Guidance on a Digital Factory Twin: Proposal for a Reference Architecture}}},
  doi          = {{10.1109/ictmod63116.2024.10878221}},
  year         = {{2025}},
}

@inbook{64254,
  author       = {{Dumitrescu, Roman and Riedel, Oliver and Henke, Michael and Metternich, Joachim and Ihlenfeldt, Steffen and Koldewey, Christian}},
  booktitle    = {{Gaia-X in industriellen Wertschöpfungsnetzwerken – Erkenntnisse aus der Förderlinie InGAIA-X}},
  isbn         = {{9783186204165}},
  publisher    = {{VDI Verlag}},
  title        = {{{Gaia-X in industriellen Wertschöpfungsnetzwerken – Erkenntnisse aus der Förderlinie InGAIA-X}}},
  doi          = {{10.51202/9783186204165-i}},
  year         = {{2025}},
}

@article{64256,
  author       = {{Rasor, Anja and Koldewey, Christian and Dumitrescu, Roman}},
  issn         = {{2662-7493}},
  journal      = {{Nachhaltige Industrie}},
  number       = {{2}},
  pages        = {{40--43}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Mit digitalen Hebeln zur Kreislaufwirtschaft}}},
  doi          = {{10.1007/s43462-025-1406-x}},
  volume       = {{6}},
  year         = {{2025}},
}