@inproceedings{61969,
  abstract     = {{<jats:p>Assessing and communicating software security has become a crucial concern in the era of digital transformation. As software systems grow more complex and interconnected, it becomes increasingly challenging to effectively evaluate and communicate a product's security status to both technical and non-technical stakeholders. The Software Product Health Assistant (SPHA) is designed to automatically collect and aggregate data from existing expert tools and derive, among other scores, a transparent Security Score. SPHA is designed to present and explain this Security Score to decision-makers to support their responsibilities. In this paper, we demonstrate how to integrate data from SMARAGD (System Modeler for Architectural Risk Assessment and Guidance on Defenses), a safety-informed threat modeling tool, into SPHA to enhance the existing definition of its Security Score. To achieve this, we combine information about known vulnerabilities with architectural and threat data to calculate a realistic risk score for the product in question.</jats:p>}},
  author       = {{Strüwer, Jan-Niclas and Trentinaglia, Roman and Wohlers, Benedict and Bodden, Eric and Dumitrescu, Roman}},
  booktitle    = {{AHFE International}},
  issn         = {{2771-0718}},
  publisher    = {{AHFE International}},
  title        = {{{Assessing and Communicating Software Security: Enhancing Software Product Health with Architectural Threat Analysis}}},
  doi          = {{10.54941/ahfe1006145}},
  volume       = {{168}},
  year         = {{2025}},
}

@inproceedings{61975,
  author       = {{Bita, Isaac Mpidi and Hermelingmeier, Dominik and Gröger, Stefan and Hovemann, Aschot and Pfeifer, Stefan and Henke, Christian and Dumitrescu, Roman and Trächtler, Ansgar}},
  booktitle    = {{Procedia CIRP}},
  issn         = {{2212-8271}},
  pages        = {{874--879}},
  publisher    = {{Elsevier BV}},
  title        = {{{SmartHomeFarming: Trends, Challenges, and Solutions in a Digital and Sustainable Future}}},
  doi          = {{10.1016/j.procir.2025.08.149}},
  volume       = {{136}},
  year         = {{2025}},
}

@inproceedings{61970,
  author       = {{Tissen, Denis and Bernijazov, Ruslan and Koldewey, Christian and Dumitrescu, Roman}},
  booktitle    = {{Procedia CIRP}},
  issn         = {{2212-8271}},
  pages        = {{1002--1007}},
  publisher    = {{Elsevier BV}},
  title        = {{{Towards a hybrid theory: Derivation of a view concept between Model-based Systems Engineering and Data Analytics}}},
  doi          = {{10.1016/j.procir.2025.08.170}},
  volume       = {{136}},
  year         = {{2025}},
}

@inproceedings{61974,
  author       = {{Hermelingmeier, Dominik and Bita, Isaac Mpidi and Menne, Leon and Jobelius, Johannes and Tichonov, Denis and Pfeifer, Stefan and Dumitrescu, Roman}},
  booktitle    = {{Procedia CIRP}},
  issn         = {{2212-8271}},
  pages        = {{844--849}},
  publisher    = {{Elsevier BV}},
  title        = {{{Maker Systems Engineering Systematic: A Practitioner-Driven Research Agenda}}},
  doi          = {{10.1016/j.procir.2025.08.144}},
  volume       = {{136}},
  year         = {{2025}},
}

@inproceedings{61971,
  author       = {{Fichtler, Timm and Petzke, Lisa Irene and Grigoryan, Khoren and Koldewey, Christian and Dumitrescu, Roman}},
  booktitle    = {{Procedia CIRP}},
  issn         = {{2212-8271}},
  pages        = {{985--990}},
  publisher    = {{Elsevier BV}},
  title        = {{{Success Factors in Product Management and the Role of Data}}},
  doi          = {{10.1016/j.procir.2025.08.167}},
  volume       = {{136}},
  year         = {{2025}},
}

@inproceedings{61968,
  author       = {{Tissen, Denis and Bernijazov, Ruslan and Koldewey, Christian and Dumitrescu, Roman}},
  booktitle    = {{Procedia Computer Science}},
  issn         = {{1877-0509}},
  pages        = {{173--180}},
  publisher    = {{Elsevier BV}},
  title        = {{{The Nexus Model: Towards a metamodel for data-driven system models}}},
  doi          = {{10.1016/j.procs.2025.08.194}},
  volume       = {{268}},
  year         = {{2025}},
}

@inproceedings{61963,
  author       = {{Eckertz, Daniel and Sander, Mattes and Masroor, Omar and Dumitrescu, Roman}},
  booktitle    = {{2025 8th International Conference on Information and Computer Technologies (ICICT)}},
  publisher    = {{IEEE}},
  title        = {{{Linking Abstract Digital Twin Data to 3D Models: A Configurable Approach for Real-Time Adaptation}}},
  doi          = {{10.1109/icict64582.2025.00010}},
  year         = {{2025}},
}

@inbook{61967,
  author       = {{Dumitrescu, Roman and Albers, Albert and Gausemeier, Jürgen and Riedel, Oliver and Lindow, Kai}},
  booktitle    = {{Forschungsberichte Pflichtabgabe (BMFTR, BMWE…)}},
  publisher    = {{Technische Informationsbibliothek}},
  title        = {{{Advanced Systems Engineering - Auswertung des Gesamtbildes ASE - Aktueller Stand zum Ende von AdWiSE}}},
  year         = {{2025}},
}

@article{61962,
  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{61994,
  author       = {{Weller, Julian and Nalavade, Sumit and Gmelch, Oliver and Migenda, Nico and Heuwinkel, Tim and Dumitrescu, Roman}},
  booktitle    = {{Procedia CIRP}},
  issn         = {{2212-8271}},
  pages        = {{229--234}},
  publisher    = {{Elsevier BV}},
  title        = {{{Advanced Analytics in Smart Factories: Towards an actionable Taxonomy for Prescriptive Analytics Use Cases}}},
  doi          = {{10.1016/j.procir.2025.03.016}},
  volume       = {{134}},
  year         = {{2025}},
}

@inproceedings{61993,
  author       = {{Dondorf, Verena and Happe, Leonie and Hobscheidt, Daniela and Kürpick, Christian and Dumitrescu, Roman}},
  booktitle    = {{Proceedings of the Conference on Production Systems and Logistics : CPSL 2025}},
  editor       = {{Herberger, David  and Hübner, Marco }},
  publisher    = {{publish-Ing.}},
  title        = {{{Evaluation Of The Challenges In Implementing AI Across The Different Phases - Empirical Insights Derived From AI Implementation Projects In Industry   }}},
  year         = {{2025}},
}

@inproceedings{61998,
  author       = {{Disselkamp, Jan-Philipp and Lick, Jonas  and Azem, Ghayth  and Grothe, Robin  and Ptock, Lukas  and Meyer, Matthias  and Kürpick, Dominik  and Hovemann, Aschot  and Dumitrescu, Roman}},
  booktitle    = {{Proceedings of the Conference on Production Systems and Logistics: CPSL 2025}},
  editor       = {{Herberger, David and Hübner, Marco}},
  pages        = {{640--649}},
  publisher    = {{publish-Ing.}},
  title        = {{{Generating An Automated Assembly Graph On The Basis Of The 3D-Geometry Of A Product Assembly Group}}},
  year         = {{2025}},
}

@inproceedings{61997,
  author       = {{Disselkamp, Jan-Philipp and Lick, Jonas  and Ptock, Lukas and Zacke, Julian  and Wilk, Marcel  and Ostendorf, Jona  and Meyer, Matthias  and Westphal, Svenja and Kürpick, Dominik  and Hovemann, Aschot  and Dumitrescu, Roman}},
  booktitle    = {{Proceedings of the Conference on Production Systems and Logistics : CPSL 2025}},
  editor       = {{Herberger, David and Hübner, Marco }},
  publisher    = {{publish-Ing.}},
  title        = {{{Case Study For Introducing Digital Cardboard Engineering}}},
  year         = {{2025}},
}

@inproceedings{61953,
  author       = {{Grigoryan, Khoren and Bauer, Eliana and Fichtler, Timm and Asmar, Laban and Kühn, Arno and Dumitrescu, Roman}},
  booktitle    = {{2025 IEEE International Conference on Engineering, Technology, and Innovation (ICE/ITMC)}},
  publisher    = {{IEEE}},
  title        = {{{A Structured Tool Landscape for Data-Driven ProductManagernent}}},
  doi          = {{10.1109/ice/itmc65658.2025.11106543}},
  year         = {{2025}},
}

@article{62138,
  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{61950,
  abstract     = {{<jats:title>ABSTRACT:</jats:title><jats:p>The importance of the circular economy as an alternative to today’s prevailing linear economy is recognised in both industry and research. Product designers are having a major influence on this transition by adapting the characteristics of physical products in the early phases of the product development process. However, most products follow a linear approach and are far from being circular. This paper aims to identify the challenges that product designers face when designing circular products. Building on a developed understanding of related terms in circular product design, an exploratory literature review is conducted. The results help to gain an overview and understanding of the challenges that need to be addressed. Therefore, further research directions are derived to support the transition from linear to circular products in the long term.</jats:p>}},
  author       = {{Jagnow, Jan and Stöhr, Bernd and Bernijazov, Ruslan and Koldewey, Christian and Dumitrescu, Roman}},
  booktitle    = {{Proceedings of the Design Society}},
  issn         = {{2732-527X}},
  pages        = {{931--940}},
  publisher    = {{Cambridge University Press (CUP)}},
  title        = {{{Circular product design: a literature-based identification of challenges from the perspective of product designers}}},
  doi          = {{10.1017/pds.2025.10107}},
  volume       = {{5}},
  year         = {{2025}},
}

@inproceedings{61928,
  abstract     = {{<jats:title>ABSTRACT:</jats:title><jats:p>Well-designed products are crucial to a company's business success. Management support is a critical success factor in ensuring that design-related aspects are given appropriate attention during product development. Despite the importance of management, the literature doesn't provide a clear picture of what characterizes a competent manager in product design. This gap impedes competence development and explains why organizations struggle to leverage the benefits of well-designed products. This research aims to address this gap by synthesizing important findings from the literature into a model of managerial competence. The model provides initial insight into the individual competencies managers need to meet their responsibility for good product design in organizations.</jats:p>}},
  author       = {{Stöhr, Bernd and Koldewey, Christian and Bernijazov, Ruslan and Dumitrescu, Roman}},
  booktitle    = {{Proceedings of the Design Society}},
  issn         = {{2732-527X}},
  pages        = {{1425--1434}},
  publisher    = {{Cambridge University Press (CUP)}},
  title        = {{{Effective management support for design: towards a model of managerial competence}}},
  doi          = {{10.1017/pds.2025.10156}},
  volume       = {{5}},
  year         = {{2025}},
}

@inproceedings{61991,
  author       = {{Seidenberg, Tobias and Stöhr, Bernd and Eckertz, Daniel and Jagnow, Jan and Dumitrescu, Roman}},
  booktitle    = {{Proceedings of the 2024 9th International Conference on Information Systems Engineering}},
  publisher    = {{ACM}},
  title        = {{{HD Mapping as enabler for autonomous systems on airports}}},
  doi          = {{10.1145/3711954.3711967}},
  year         = {{2025}},
}

@inbook{63543,
  abstract     = {{<jats:title>Abstract</jats:title>
          <jats:p>Current megatrends are influencing industrial production and leading to ever shorter innovation cycles. The resulting fast pace of production requirements requires an accelerated development of production systems and an associated increase in efficiency in factory planning. Due to its knowledge-intensive activities, rough factory planning promises great potential to be supported in its activities by innovative technologies such as artificial intelligence. However, industrial companies face the challenge to recognize the potential of artificial intelligence (AI) in rough planning and to evaluate possible applications in their business context. As a result, a systematic approach for analyzing AI potential in rough factory planning was developed as part of this work. The system includes a procedural model and several artefacts used in it, which support the identification and evaluation of AI potential in organizations. This approach not only streamlines the planning process but also aligns with sustainable manufacturing principles by enhancing resource efficiency, promoting intelligent system design, and fostering innovation in product development and manufacturing processes.</jats:p>}},
  author       = {{Kürpick, Dominik and Disselkamp, Jan-Philipp and Lick, Jonas and Hovemann, Aschot and Dumitrescu, Roman}},
  booktitle    = {{Lecture Notes in Mechanical Engineering}},
  isbn         = {{9783031938900}},
  issn         = {{2195-4356}},
  publisher    = {{Springer Nature Switzerland}},
  title        = {{{Systematic AI Potential Analysis for Sustainable Rough Factory Planning}}},
  doi          = {{10.1007/978-3-031-93891-7_84}},
  year         = {{2025}},
}

@inproceedings{63542,
  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 Bita, Isaac Mpidi 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}},
}