2023

• Frey, J., Meyer, L. P., Arndt, N., Brei, F., & Bulert, K. (2023). Benchmarking the abilities of large language models for rdf knowledge graph creation and comprehension: How well do llms speak turtle?. arXiv preprint arXiv:2309.17122. https://doi.org/10.48550/arXiv.2309.17122
• Grzona, P., Mai Thi, Y., Zumpe, F. and Münnich, M., 2023, Requirements for a ML- and platform-based simulation service. 20. ASIM Fachtagung Simulation in Produktion und Logistik 2023 (p. 187). https://doi.org/10.22032/dbt.57805
• Mai, Y.T.; Chen, X.; Riedel, R.: The Potential of Additive Manufacturing Networks in Crisis Scenarios. In: Alfnes, E., Romsdal, A., Strandhagen, J.O., von Cieminski, G., Romero, D. (eds): Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures. APMS 2023. IFIP Advances in Information and Communication Technology, vol 690. Springer, Cham. https://doi.org/10.1007/978-3-031-43666-6_37
• Mauersberger, A., Alaluss, M., Beyer, A., Nölscher, K., Rauscher, A., Reinhardt, H., Ihlenfeldt, S., 2023, A survey on smart product-service systems in manufacturing, Procedia CIRP, Volume 120, Pages 1504-1509. https://doi.org/10.1016/j.procir.2023.09.203
• Meyer, Lars-Peter & Frey, Johannes & Junghanns, Kurt & Brei, Felix & Bulert, Kirill & Gründer-Fahrer, Sabine & Martin, Michael. (2023). Developing a Scalable Benchmark for Assessing Large Language Models in Knowledge Graph Engineering. Zum Paper
• Meyer, L. P., Stadler, C., Frey, J., Radtke, N., Junghanns, K., Meissner, R., … & Martin, M. (2023). Llm-assisted knowledge graph engineering: Experiments with chatgpt. Zum Paper
• Mueller, B.: Part 6: Research and Development – Consortia and collaboration: Fraunhofer. In: Wohlers, T. et al (Eds.) Wohlers Report 2023 – 3D Printing and Additive Manufacturing Global State of the Industry. ASTM International, Washington, DC (USA), 2023, ISBN 978-1-6220-4966-0, S. 270 – 271. Zum Bericht
• Münnich, M., Zumpe, F. and Grzona, P., 2023, Simulation und Maschinelles Lernen in Supply Chains. In ASIM WS 2023 Kurzbeiträge und Abstract-Beiträge, ARGESIM Publisher Vienna. https://doi.org/10.11128/arep.22
• Rieprich, M., Ramm, S. and Berndt, S., 2023, From demand to digital platform: A reference process for hospital procurement, Integrated Systems in Medical Technologies (ISMT), 14.-15. September 2023, Erlangen.
• Rieprich, M., and Ramm, S., 2023, Wertschöpfungsnetzwerke in der Gesundheitsindustrie: Steigerung der Resilienz gegenüber krisenbedingten Störungen, Industrie 4.0 Management, 39, 40-44. https://doi.org/10.30844/IM_23-4_40-44
• Priya, B., Biswas, I., Thürer, M., and Avittathur, B., 2023, How to finance the supply chain when you are small? Clearance sale and loan payment timing in financially constrained supply chains, International Journal of Production Economics, 263, 108934. https://doi.org/10.1016/j.ijpe.2023.108934