@book{54265,
  editor       = {{Janus, Richard}},
  isbn         = {{978-3-658-45303-9}},
  issn         = {{2569-8818}},
  pages        = {{176}},
  publisher    = {{SpringerVS}},
  title        = {{{Weihnachts-Werbespots als moderne Krippenspiele}}},
  doi          = {{10.1007/978-3-658-45304-6}},
  year         = {{2024}},
}

@inproceedings{54540,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>System models are used to merge relevant engineering artefacts and relationships. Therefore, a high model quality must be ensured. Currently, there is no method for defining company-specific metrics to assess system model quality. In a six-step research approach, a method is defined: (1) literature analysis on quality assessment approaches, (2) derivation of success factors, (3) evaluation of approaches, (4) development of a method, (5) application in automotive industry, and (6) evaluation. The method supports system engineers to derive tailored metrics to objectively assess the model quality.</jats:p>}},
  author       = {{Gräßler, Iris and Wiechel, Dominik and Özcan, Deniz and Taplick, Patrick}},
  booktitle    = {{Proceedings of the Design Society}},
  issn         = {{2732-527X}},
  pages        = {{2545--2554}},
  publisher    = {{Cambridge University Press (CUP)}},
  title        = {{{Tailored metrics for assessing the quality of MBSE models}}},
  doi          = {{10.1017/pds.2024.257}},
  volume       = {{4}},
  year         = {{2024}},
}

@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{57445,
  abstract     = {{Knowledge management is essential for successful disaster management. This paper conducts a Systematic Literature Review at the intersection of the knowledge management field and disaster management and examines the available body of literature. Fire departments are chosen as the focus group as they are the most prevalent emergency services. There are many publications that deal with knowledge management during the response phase of an emergency. Often, the literature focuses on the application of knowledge management in large-scale disasters to link the various organizations on-scene. What is missing in most approaches is a prior step of implementing and training the knowledge management system. Therefore, this literature review seeks to provide an overview of approaches for daily routines and small-to-medium incidents that serve as a training ground. However, literature on non-incident phases and smaller incidents is scarce. As information technologies are developing rapidly, there is no modern and recent description of the current use of knowledge management solutions in this area.}},
  author       = {{Schultz, Andreas Maximilian and Dotzki, Fabian and Mozgova, Iryna}},
  booktitle    = {{Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management}},
  keywords     = {{Knowledge Management, Civil Protection, Systematic Literature Review, Fire Brigade}},
  location     = {{Porto, Portugal}},
  publisher    = {{SCITEPRESS - Science and Technology Publications}},
  title        = {{{Knowledge Management in Civil Protection at the Example of Fire Brigades}}},
  doi          = {{10.5220/0012947700003838}},
  year         = {{2024}},
}

@inproceedings{57182,
  abstract     = {{Generative design suggestions and topology optimizations can help to reduce iterative process loops between calculation and design departments during product development processes. However, precise topology optimizations are computationally intensive, while generative designs benefit from swift suggestions to address design problems efficiently. Using artificial neural networks (ANN) can address this contrast of pre-defined aims by predicting topology-optimized designs, thereby combining both advantageous features. However, a challenge in Mass Customization is, that ANN are usually trained on specific geometries, making transfer to other applications impractical or requiring the creation of new datasets, which is economically unfeasible. Authors have already demonstrated a solution in other publications: dividing a geometry into geometric primitives like cuboids to perform abstraction. An ANN can then be trained to recognize optimized cuboids, which can be assembled back into a complete geometry, comparable to the finite element methods, which divide geometries of parts in finite elements enable mechanical property calculation. This publication aims to illustrate the steps of the approach in which the complete geometry of a part is segmented into these primitives, and the benefits obtained. Various methods will be explored, including automated workflows on modern low-code platforms, to enable generalized use.}},
  author       = {{Ott, Manuel and Meihöfener, Niclas and Mozgova, Iryna}},
  booktitle    = {{Proceedings of the 11. Conference on Mass Customization and Personalization (MCP)}},
  editor       = {{Anisic, Zoran  and Forza, Cipriano}},
  isbn         = {{978-86-6022-686-2}},
  location     = {{Novi Sad, Serbia}},
  publisher    = {{Faculty of Technical Science, Department of Industrial Engineering and Management }},
  title        = {{{An approach to use generic data sets for neural networks in product designs through geometric abstraction via primitives}}},
  year         = {{2024}},
}

@inproceedings{54301,
  author       = {{Schultz, Andreas Maximilian and Dotzki, Fabian and Mozgova, Iryna}},
  booktitle    = {{Proceedings of the 21st ISCRAM Conference}},
  editor       = {{Penkert, Berthold and Hellingrath, Bernd and Rode, Monika and Widera, Adam and Middelhoff, Michael and Boersma, Kees and Kalthöner, Matthias}},
  location     = {{Münster}},
  title        = {{{State of Knowledge Management among German firefighters}}},
  doi          = {{https://doi.org/10.59297/ndd24w94}},
  year         = {{2024}},
}

@inproceedings{57501,
  author       = {{Güldenpenning, Iris and Böer, Nils Tobias and Kunde, Wilfried and Giesen, Carina G. and Rothermund, Klaus and Weigelt, Matthias}},
  booktitle    = {{Abstracts of the 66th Conference of Experimental Psychologists}},
  editor       = {{Fröber, Kerstin and Abel, Magdalena and Bäuml, Karl-Heinz and Dreisbach, Gesine and Kliegl, Oliver and Köster, Moritz and Lingnau, Angelika and Volberg, Gregor and Götz, Felix J.}},
  location     = {{Regensburg}},
  publisher    = {{LibreCat University}},
  title        = {{{Context-specific adaptation for head fakes in basketball: a study on player-specific fake-frequency schedules}}},
  doi          = {{10.23668/PSYCHARCHIVES.15242}},
  year         = {{2024}},
}

@article{57540,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Rolling processes of conventional cast Al-Li alloys quickly reach their limits due to relatively poor material formability. This can be overcome by using twin-roll casting to produce thin sheets. Further thermomechanical treatment, including hot or cold rolling, and heat treatment can adjust the mechanical properties of twin-roll cast Al-Li sheets. The whole manufacturing chain requires detailed knowledge of the precipitation and dissolution behavior during heating, soaking and cooling, to purposefully select any process parameters. This study shows the process chain of a twin-roll cast Al–Cu–Li alloy achieving a hardness of around 180 HV1 by adapting the heat treatment parameters for homogenisation, hot rolling and age hardening. Both hardness and microstructure evolution are visualised along the process chain.</jats:p>}},
  author       = {{Mallow, Sina and Broer, Jette and Milkereit, Benjamin and Grydin, Olexandr and Hoyer, Kay-Peter and Garthe, Kai-Uwe and Milaege, Dennis and Boyko, Viktoriya and Schaper, Mirko and Kessler, Olaf}},
  issn         = {{0944-6524}},
  journal      = {{Production Engineering}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Process chain of a twin-roll cast aluminium-copper-lithium alloy}}},
  doi          = {{10.1007/s11740-024-01322-x}},
  year         = {{2024}},
}

@article{57575,
  author       = {{Beule, Felix and Teutenberg, Dominik and Meschut, Gerson}},
  issn         = {{0169-4243}},
  journal      = {{Journal of Adhesion Science and Technology}},
  pages        = {{1--20}},
  publisher    = {{Informa UK Limited}},
  title        = {{{Analysis of the anisotropic mechanical properties of structural adhesive joints with curing-induced pre-deformations}}},
  doi          = {{10.1080/01694243.2024.2427799}},
  year         = {{2024}},
}

@inproceedings{57584,
  abstract     = {{<jats:p>There are numerous initiatives and lighthouse projects around Gaia-X to create the basics of open, trustworthy data ecosystems. One of the challenges in building these data ecosystems is to convince everyone involved of the advantages of multilateral data sharing. A prerequisite is also a common understanding of the rights of use and access to the data. Data sovereignty means that the data provider decides which data with which usage and access rights he wants to make accessible to which user group. Standardised digital representations by, for instance, the Asset Administration Shell (AAS enable creation of such data ecosystems, interlinking the physical and digital space. In the paper at hand, a conceptual approach named Decide4Eco is presented with the aim to enable systematic and flexible decision-making support for product planning and development concerning the sustainability of a product and the entire value chain. Methods of sustainability assessment are expanded to include predictive AI-based effects analyses.</jats:p>}},
  author       = {{Gräßler, Iris and Pottebaum, Jens and Holland, Martin and Wiechel, Dominik and Dickopf, Thomas and Stjepandić, Josip}},
  booktitle    = {{Proceedings of the 31st ISTE International Conference on Transdisciplinary Engineering}},
  editor       = {{Stjepandic, Josip}},
  isbn         = {{9781643685502}},
  issn         = {{2352-751X}},
  location     = {{London}},
  pages        = {{175--184}},
  publisher    = {{IOS Press}},
  title        = {{{Leveraging Data Ecosystems in Model-Based Systems Engineering for Ecological, Circular Added Value}}},
  doi          = {{10.3233/atde240858}},
  volume       = {{60}},
  year         = {{2024}},
}

@inbook{57660,
  author       = {{Langer, Antje and Schwombeck, Ann-Catrin}},
  booktitle    = {{Bild & Erziehungswissenschaft. Eine Skizzierung der thematischen Schnittmenge sowie des diziplinären Feldes. }},
  editor       = {{Wolfgarten, Tim  and Trompeta, Michaela}},
  isbn         = {{978-3-7799-6451-3}},
  pages        = {{266--292}},
  publisher    = {{Beltz Juventa}},
  title        = {{{Geschlechterbilder in Erziehung, Bildung und Sorge.}}},
  year         = {{2024}},
}

@inproceedings{57477,
  author       = {{Haas, Franz and Tiefnig, Raphael  and Braun, Marcel Patrick Klaus and Taschauer, Michael  and Steinacker, Stephan }},
  booktitle    = {{Metal Additive Manufacturing Conference, MAMC 2024}},
  location     = {{Aachen}},
  title        = {{{Process Development and Risk Assessment for Processing Magnesium Alloys using LPBF Technology}}},
  year         = {{2024}},
}

@phdthesis{52678,
  author       = {{Yang, X.}},
  isbn         = {{978-3-947647-35-4}},
  title        = {{{Eine Methode zur Unterstützung von Entscheidungen bei der Entwicklung modularer Leichtbauprodukte }}},
  volume       = {{Band 416}},
  year         = {{2024}},
}

@inbook{57854,
  author       = {{Lebock, Sarah}},
  booktitle    = {{Horin. Vergleichende Studien zur japanischen Kultur, Bd. 24}},
  editor       = {{Matsumaru, Hisao and Röllicke, Hermann-Josef}},
  isbn         = {{978-3-86205-148-9}},
  pages        = {{119--142}},
  publisher    = {{Iudicium Verlag}},
  title        = {{{Das Flackern der Kerze – Zur Philosophie der Endlichkeit bei Gadamer, Heidegger und Nishida}}},
  year         = {{2024}},
}

@inproceedings{57897,
  author       = {{Paul, Andreas and Elsner, Andreas and Kasper, Tina and Schumacher, Daniel and Vrabec, Jadran  and Hölscher, Heike  and Bluemel, Marcus  and Wollny, Wenke and Becker, Wolfgang and Brzoska-Steinhaus, Nicola }},
  location     = {{September}},
  title        = {{{Alterungsbedingter Anstieg der Energieaufnahme von Haushaltskältegeräten}}},
  year         = {{2024}},
}

@inproceedings{54635,
  author       = {{Maletz, Lucia and Temmen, Katrin and Bentrup, Leon Alexander and Frank, Carolin}},
  booktitle    = {{Dekarbonisierung, Digitalisierung, Demographie: Gestaltungsanspruch Für {Gewerblich-Technische} Facharbeit und }},
  editor       = {{Grimm, Axel and Herkner, Volkmar and Karges, Torben and Schlausch, Reiner}},
  isbn         = {{978-3-631-90685-9}},
  pages        = {{477--491}},
  publisher    = {{Peter Lang GmbH, Internationaler Verlag der Wissenschaften}},
  title        = {{{Didaktische Nutzung des digitalen Zwillings in einem E-Learning-Lernbaustein zum Thema "Smart Factory" für die Lehramtsmasterstudiengänge der gewerblich-technischen Fachrichtung}}},
  year         = {{2024}},
}

@book{57590,
  author       = {{Hilgert, Joachim}},
  isbn         = {{9783662688922}},
  publisher    = {{Springer Berlin Heidelberg}},
  title        = {{{Mathematische Strukturen 2. Auflage}}},
  doi          = {{10.1007/978-3-662-68893-9}},
  year         = {{2024}},
}

@misc{50208,
  author       = {{Treder, Alexandra}},
  booktitle    = {{Forschungsportal für Spracherwerb und Migration (daz-portal)}},
  number       = {{2}},
  title        = {{{Alexandra Treder (Universität Paderborn) rezensiert: Döll, Marion & Michalak, Magdalena (2023): Deutsch als Zweitsprache und inklusive Bildung. [Deutsch als Zweitsprache – Positionen, Perspektiven, Potenziale, Bd. 3]. Münster: Waxmann, 142 Seiten. Print-ISBN 978-3-8309-4711-0. E-Book-ISBN 978-3- 8309-9711-5.}}},
  volume       = {{26}},
  year         = {{2024}},
}

@article{55568,
  abstract     = {{<jats:p>Historical condition monitoring data from technical systems can be utilized to develop data-driven models for predicting the remaining useful life (RUL) of similar systems, whereas the Health Index (HI) often is a crucial component. The development of robust and accurate models requires meaningful features that reflect the system’s degradation process, enabling an accurate prediction of the system's HI. Traditionally, the identification of those is supported by one of various feature ranking methods. In literature, feature interdependencies and their transferability across various similar systems are not sufficiently considered in feature selection, exacerbating the challenge of HI prediction posed by the scarcity of data and system diversity in real-world applications. This work addresses this gaps by demonstrating how filter-based feature selection, incorporating failure thresholds and cross correlations, enhances feature selection leading to improved HI prediction. The proposed methodology is applied to a novel dataset* obtained from run-to-failure experiments on geared motors conducted as part of this study, which presents the aforementioned challenges. It is revealed that classical feature selection, consisting of feature ranking only, leaves potential untapped, which is utilized by the proposed selection methodology. It is shown that the proposed feature selection methodology leads to the best result with a RMSE of 0.14 in predicting the HI of a constructive different gearbox, while the features, determined by classical feature selection, lead to a RMSE of 0.19 at best.</jats:p>}},
  author       = {{Löwen, Alexander and Wissbrock, Peter and Bender, Amelie and Sextro, Walter}},
  isbn         = {{978-1-936263-40-0}},
  journal      = {{PHM Society European Conference}},
  location     = {{Prague}},
  number       = {{1}},
  pages        = {{955--964}},
  publisher    = {{PHM Society}},
  title        = {{{Filter-based feature selection for prognostics incorporating cross correlations and failure thresholds}}},
  doi          = {{10.36001/phme.2024.v8i1.4075}},
  volume       = {{8}},
  year         = {{2024}},
}

@inproceedings{55631,
  abstract     = {{This paper investigates the remaining useful lifetime (RUL) estimation of bearings under dynamic, i.e., time-varying, operating conditions (OC). Unlike conventional studies that assume constant OC in bearing accelerated life tests, we introduce a dataset with time-varying OC during run-to-failure experiments, simulating real-world scenarios. We explore data-driven approaches to identify the transition point from a healthy to an unhealthy state and estimate the RUL. Additionally, we examine strategies for integrating OC information to enhance RUL estimations. These methodologies are evaluated through numerical experiments using various machine learning algorithms.}},
  author       = {{Javanmardi, Alireza and Aimiyekagbon, Osarenren Kennedy and Bender, Amelie and Kimotho, James Kuria and Sextro, Walter and Hüllermeier, Eyke}},
  booktitle    = {{PHM Society European Conference}},
  isbn         = {{978-1-936263-40-0}},
  location     = {{Prague, Czech Republic}},
  number       = {{1}},
  publisher    = {{PHM Society}},
  title        = {{{Remaining Useful Lifetime Estimation of Bearings Operating under Time-Varying Conditions}}},
  doi          = {{10.36001/phme.2024.v8i1.4101}},
  volume       = {{8}},
  year         = {{2024}},
}