@inproceedings{58446,
  author       = {{Wippermann, Jan and Meschut, Gerson}},
  booktitle    = {{14 Gemeinsames Kolloquium Zur Mechanischen Fügetechnik}},
  title        = {{{Entwicklung einer Methode zur Prognose der Verschraubungsparameter von Kunststoffmuttern}}},
  year         = {{2024}},
}

@article{58467,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Traditional work models often need more flexibility and time autonomy for employees, especially in manufacturing. Quantitative approaches and Artificial Intelligence (AI) applications offer the potential to improve work design. However, current research does not entirely focus on human-centric criteria that enable time autonomy. This paper addresses this gap by developing a set of criteria to evaluate intelligent personnel planning approaches based on their ability to enhance time autonomy for employees. Existing quantitative approaches are not sufficient to fully integrate the developed criteria.</jats:p><jats:p>Consequently, a novel model approach is proposed in an attempt to bridge the gap between current practices and the newly developed criteria. This two-stage planning approach fosters democratization of time autonomy on the shopfloor, moving beyond traditional top-down scheduling. The paper concludes by outlining the implementation process and discusses future developments with respect to AI for this model approach.</jats:p><jats:p><jats:italic>Practical Relevance</jats:italic>: In order to make working conditions on the shopfloor in high-wage countries more attractive, an alternative organization of shift work is needed. Intelligent planning approaches that combine traditional operations research methods with artificial intelligence approaches can democratize shift organization regarding time autonomy. Planning that takes both employee and employer preferences into account in a balanced way will strengthen the long-term competitiveness of manufacturing companies in high-wage countries and counteract the shortage of skilled labor.</jats:p>}},
  author       = {{Latos, Benedikt and Buckhorst, Armin and Kalantar, Peyman and Bentler, Dominik and Gabriel, Stefan and Dumitrescu, Roman and Minge, Michael and Steinmann, Barbara and Guhr, Nadine}},
  issn         = {{0340-2444}},
  journal      = {{Zeitschrift für Arbeitswissenschaft}},
  number       = {{3}},
  pages        = {{277--298}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Time autonomy in personnel planning: Requirements and solution approaches in the context of intelligent scheduling from a holistic organizational perspective Zeitautonomie in der Personaleinsatzplanung: Anforderungen und Lösungsansätze im Rahmen einer intelligenten Planung aus ganzheitlicher organisationaler Perspektive}}},
  doi          = {{10.1007/s41449-024-00432-7}},
  volume       = {{78}},
  year         = {{2024}},
}

@article{58468,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Systems Engineering is developing differently in each sector and region. In German industry, especially in mechanical and plant engineering, Systems Engineering is of major importance. The introduction of Systems Engineering raises the question of which roles and competencies are required. This article examines the evolution of roles in Systems Engineering from a German perspective. Based on a literature review, the evolution of the identified Systems Engineering roles over time is shown, starting with the seminal publication by Sheard in 1996. It points out that only minimal adjustments and occasional role renaming have occurred. However, the review shows a common understanding of essential areas of responsibility within the SE and changes over time. The next step is to examine the current understanding of Systems Engineering roles in the industry. A quantitative analysis of job postings in Germany reveals a diverse interpretation of the term 'Systems Engineer; more than half of the positions cannot be categorized according to the INCOSE definitions. The job postings are used to determine which tasks are associated with the job, how often they occur, and in what combination. The primary responsibilities of systems engineers include creating and managing requirements, architecture processes, validation, and verification processes, and coordinating with customers and stakeholders. Finally, three representative companies from the mechanical and plant engineering sector were selected to analyze existing roles and tasks. From this, a common understanding of tasks and responsibilities is combined and organized into clusters. These are used by the companies to locate and thus derive their roles. The result is in an integrative approach that enables companies, especially in the midsize and medium sectors, to design the introduction in line with stakeholder demands. In summary, the industry's ongoing adaptation necessitates the evolution of Systems Engineering roles and competencies for successful and sustainable development and implementation of systems.</jats:p>}},
  author       = {{Kaiser, Lydia and Wilke, Daria and Förster, Felix and Köhler, Ingmarie and Dumitrescu, Roman}},
  issn         = {{2334-5837}},
  journal      = {{INCOSE International Symposium}},
  number       = {{1}},
  pages        = {{1413--1428}},
  publisher    = {{Wiley}},
  title        = {{{Evolving Roles in Systems Engineering —‐ Insights from Germany's Mechanical and Plant Engineering Sector}}},
  doi          = {{10.1002/iis2.13216}},
  volume       = {{34}},
  year         = {{2024}},
}

@inproceedings{58458,
  author       = {{Gilich, Julian and Teutenberg, Dominik and Meschut, Gerson and Gröger, Benjamin and Wiebicke, Felix and Koch, Ilja and Gude, Maik}},
  booktitle    = {{77th IIW Annual Assembly and International Conference on Welding and Joining}},
  location     = {{Rhodos, Griechenland}},
  title        = {{{Influences on the Material Displacement and Compression Stresses in the Joining Process of Highly Viscous Thermal Interface Materials}}},
  year         = {{2024}},
}

@article{58466,
  author       = {{Carayannis, Elias G. and Dumitrescu, Roman and Falkowski, Tommy and Zota, Nikos-Rigert}},
  issn         = {{0018-9391}},
  journal      = {{IEEE Transactions on Engineering Management}},
  pages        = {{14754--14774}},
  publisher    = {{Institute of Electrical and Electronics Engineers (IEEE)}},
  title        = {{{Empowering SMEs “Harnessing the Potential of Gen AI for Resilience and Competitiveness”}}},
  doi          = {{10.1109/tem.2024.3456820}},
  volume       = {{71}},
  year         = {{2024}},
}

@article{58474,
  abstract     = {{<jats:title>Abstract</jats:title>
	  <jats:p>The application of data analytics to product usage data has the potential to enhance engineering and decision-making in product planning. To achieve this effectively for cyber-physical systems (CPS), it is necessary to possess specialized expertise in technical products, innovation processes, and data analytics. An understanding of the process from domain knowledge to data analysis is of critical importance for the successful completion of projects, even for those without expertise in these areas. In this paper, we set out the foundation for a toolbox for data analytics, which will enable the creation of domain-specific pipelines for product planning. The toolbox includes a morphological box that covers the necessary pipeline components, based on a thorough analysis of literature and practitioner surveys. This comprehensive overview is unique. The toolbox based on it promises to support and enable domain experts and citizen data scientists, enhancing efficiency in product design, speeding up time to market, and shortening innovation cycles.</jats:p>}},
  author       = {{Panzner, Melina and von Enzberg, Sebastian and Dumitrescu, Roman}},
  issn         = {{0890-0604}},
  journal      = {{Artificial Intelligence for Engineering Design, Analysis and Manufacturing}},
  publisher    = {{Cambridge University Press (CUP)}},
  title        = {{{Developing a data analytics toolbox for data-driven product planning: a review and survey methodology}}},
  doi          = {{10.1017/s0890060424000209}},
  volume       = {{38}},
  year         = {{2024}},
}

@article{58475,
  author       = {{Schlegel, Michael and Just, Markus and Pfaff, Felix and Wiederkehr, Ingrid and Koldewey, Christian and Kempf, Christoph and Dumitrescu, Roman and Albers, Albert}},
  issn         = {{2212-8271}},
  journal      = {{Procedia CIRP}},
  pages        = {{555--560}},
  publisher    = {{Elsevier BV}},
  title        = {{{Future Robust Product Portfolio Development: Modelling Innovation Potentials in Product Portfolios}}},
  doi          = {{10.1016/j.procir.2024.03.036}},
  volume       = {{128}},
  year         = {{2024}},
}

@inproceedings{58469,
  author       = {{Schreiner, Nick and de Oliveira, FM and Trienens, Malte and Kürpick, Christian and Asmar, Laban and Kühn, Arno and Dumitrescu, Roman}},
  booktitle    = {{Proceedings R&D Management Conference}},
  publisher    = {{LibreCat University}},
  title        = {{{Corporate Emission Profiles: Analyzing the 160 largest German Companies}}},
  doi          = {{10.24406/PUBLICA-3609}},
  year         = {{2024}},
}

@inproceedings{58470,
  author       = {{Schlegel, Michael and Müller, Moritz and Kempf, Christoph and Albers, Albert and Wiederkehr, Ingrid and Koldewey, Christian and Dumitrescu, Roman}},
  booktitle    = {{The International Society for Professional Innovation Management (ISPIM)}},
  location     = {{Manchester }},
  pages        = {{1--18}},
  title        = {{{How to Derive Innovation Potentials Advancing the Product Portfolio?}}},
  year         = {{2024}},
}

@inproceedings{58471,
  author       = {{Wilke, Daria and Humpert, Lynn and Seidenberg, Tobias and Menne, Leon and Grewe, Carolin and Dumitrescu, Roman}},
  booktitle    = {{2024 IEEE International Systems Conference (SysCon)}},
  publisher    = {{IEEE}},
  title        = {{{MBSE as an Enabler for Collaborative Offer Management for Individual Production Systems}}},
  doi          = {{10.1109/syscon61195.2024.10553428}},
  year         = {{2024}},
}

@inproceedings{58479,
  author       = {{Kulkarni, Pranav Jayant and Tissen, Denis and Bernijazov, Ruslan and Dumitrescu, Roman}},
  booktitle    = {{Proceedings of NordDesign 2024}},
  publisher    = {{The Design Society}},
  title        = {{{Towards Automated Design: Automatically Generating Modeling Elements with Prompt Engineering and Generative Artificial Intelligence}}},
  doi          = {{10.35199/norddesign2024.66}},
  year         = {{2024}},
}

@inproceedings{58480,
  author       = {{Schlegel, Michael and Pommerer, Emily and Kempf, Christoph and Wiederkehr, Ingrid and Koldewey, Christian and Dumitrescu, Roman and Albers, Albert}},
  booktitle    = {{Proceedings of NordDesign 2024}},
  publisher    = {{The Design Society}},
  title        = {{{Developing a Process Model for Future-Robust Advancement of Product Portfolios}}},
  doi          = {{10.35199/norddesign2024.49}},
  year         = {{2024}},
}

@inproceedings{58477,
  author       = {{Hermelingmeier, Dominik and Pape, Florian and Bunselmeyer, Laura and Pfeifer, Stefan and Dumitrescu, Roman}},
  booktitle    = {{Proceedings of NordDesign 2024}},
  publisher    = {{The Design Society}},
  title        = {{{Methods and Approaches for Evaluating the Repairability of Mechatronic Systems: A Systematic Literature Review}}},
  doi          = {{10.35199/norddesign2024.77}},
  year         = {{2024}},
}

@inproceedings{58476,
  author       = {{Wilke, Daria and Humpert, Lynn and Suwal, Pragita and Dumitrescu, Roman}},
  booktitle    = {{Proceedings of NordDesign 2024}},
  publisher    = {{The Design Society}},
  title        = {{{Framework for the Selection of Systems Engineering Modelling Languages and Methods for Special Purpose Machinery}}},
  doi          = {{10.35199/norddesign2024.59}},
  year         = {{2024}},
}

@inproceedings{58478,
  author       = {{Scholtysik, Michel and Rasor, Anja and Koldewey, Christian and Dumitrescu, Roman}},
  booktitle    = {{Proceedings of NordDesign 2024}},
  publisher    = {{The Design Society}},
  title        = {{{A Product Lifecycle Model for the Digitally Enabled Circular Economy}}},
  doi          = {{10.35199/norddesign2024.31}},
  year         = {{2024}},
}

@inproceedings{58482,
  author       = {{Weller, Julian  and Migenda, Nico  and Kühn, Arno  and Dumitrescu, Roman}},
  booktitle    = {{Proceedings CPSL 2024}},
  publisher    = {{LibreCat University}},
  title        = {{{Prescriptive Analytics Data Canvas: Strategic Planning For Prescriptive Analytics In Smart Factories}}},
  doi          = {{10.15488/17721}},
  year         = {{2024}},
}

@inproceedings{58481,
  author       = {{Scholtysik, Michel and Rasor, Anja and Koldewey, Christian and Dumitrescu, Roman}},
  booktitle    = {{ISPIM Conference Proceedings}},
  location     = {{Manchester}},
  title        = {{{Business model patterns for the circular economy}}},
  year         = {{2024}},
}

@article{58491,
  abstract     = {{<jats:p>Similar to bulk metal forming, clinch joining is characterised by large plastic deformations and a variety of different 3D stress states, including severe compression. However, inherent to plastic forming is the nucleation and growth of defects, whose detrimental effects on the material behaviour can be described by continuum damage models and eventually lead to material failure. As the damage evolution strongly depends on the stress state, a stress-state-dependent model is utilised to correctly track the accumulation. To formulate and parameterise this model, besides classical experiments, so-called modified punch tests are also integrated herein to enhance the calibration of the failure model by capturing a larger range of stress states and metal-forming-specific loading conditions. Moreover, when highly ductile materials are considered, such as the dual-phase steel HCT590X and the aluminium alloy EN AW-6014 T4 investigated here, strong necking and localisation might occur prior to fracture. This can alter the stress state and affect the actual strain at failure. This influence is captured by coupling plasticity and damage to incorporate the damage-induced softening effect. Its relative importance is shown by conducting inverse parameter identifications to determine damage and failure parameters for both mentioned ductile metals based on up to 12 different experiments.</jats:p>}},
  author       = {{Friedlein, Johannes and Böhnke, Max and Schlichter, Malte and Bobbert, Mathias and Meschut, Gerson and Mergheim, Julia and Steinmann, Paul}},
  issn         = {{2504-4494}},
  journal      = {{Journal of Manufacturing and Materials Processing}},
  keywords     = {{ductile damage, stress-state dependency, failure, parameter identification, punch test, clinching}},
  number       = {{4}},
  publisher    = {{MDPI AG}},
  title        = {{{Material Parameter Identification for a Stress-State-Dependent Ductile Damage and Failure Model Applied to Clinch Joining}}},
  doi          = {{10.3390/jmmp8040157}},
  volume       = {{8}},
  year         = {{2024}},
}

@article{58490,
  author       = {{Aumann, Lena and Gasteiger, Hedwig and Puca, Rosa M.}},
  issn         = {{0001-6918}},
  journal      = {{Acta Psychologica}},
  publisher    = {{Elsevier BV}},
  title        = {{{Early childhood teachers' feedback in natural mathematical learning situations: Development and validation of a detailed category system}}},
  doi          = {{10.1016/j.actpsy.2024.104175}},
  volume       = {{244}},
  year         = {{2024}},
}

@inbook{53612,
  author       = {{Bloh, Thiemo and Homt, Martina and Bloh, Bea}},
  booktitle    = {{Dokumentarische Professionalisierungsforschung bezogen auf das Lehramtsstudium}},
  editor       = {{Korte, Jörg and Wittek, Doris and Schröder, Jana}},
  pages        = {{194--215}},
  publisher    = {{Verlag Julius Klinkhardt}},
  title        = {{{Das Praxissemester aus Referendar:innenperspektive – Forschende Grundhaltung zwischen erster und zweiter Ausbildungsphase}}},
  year         = {{2024}},
}