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Das IPI – Institut für Produktion und Informatik der Hochschule Kempten ist stolz auf seine Publikationen, die unsere interdisziplinäre Forschung in Informatik und Maschinenbau zeigen. In Zusammenarbeit mit Studierenden, Mitarbeitenden und Partnern entstehen Arbeiten, die Theorie und Praxis voranbringen. Entdecken Sie hier unsere Veröffentlichungen.

Publikationsserver der Hochschule Kempten: OPUS 4 | IPI – Institut für Produktion und Informatik (kobv.de)

2025

  • Heller, J., Lüdemann-Ravit, B., Penter, L., & Ihlenfeldt, S.: "Cycle Time Reduction in Production Systems via Digital Twin-Based Compensation of Pneumatic Reaction Times", in IECON 2025 – 51st Annual Conference of the IEEE Industrial Electronics Society, IEEE, Madrid, Spain, 2025, pp. 1–8. https://doi.org/10.1109/iecon58223.2025.11221901 
  • Gupta, P. K., Heller, J., & Lüdemann-Ravit, B.: "Asset Administration Shell: Deutschlands Standard für Digitale Zwillinge", in Zeitschrift für wirtschaftlichen Fabrikbetrieb, vol. 120, no. 10, 2025, pp. 755–762. https://doi.org/10.1515/zwf-2025-1121 
  • Gudder, R., Hoffmann, D., Gupta, P., & Lüder, A.: "Flexible Manufacturing Systems through Integration of Asset Administration Shell and OPC UA with PLC", in IFAC-PapersOnLine, vol. 59, no. 10, Proceedings of the 11th IFAC Conference on Manufacturing Modelling, Management and Control (MIM 2025), Trondheim, Norway, 2025, pp. 1259–1264. https://doi.org/10.1016/j.ifacol.2025.09.212 
  • Chang, T. V., Hartmann, K., Kuth, B., Seibt, S., & von Rymon Lipinski, B.: "EGO-VC – Evolutionary GPU-Optimization of Visual Correspondences for Image Alignment", in WSCG 2025: Proceedings, N. Magnenat-Thalmann & V. Skala, Eds. University of West Bohemia, Pilsen, 2025, pp. 75–82. https://doi.org/10.24132/CSRN.2025-8 
  • Krau, T., Schäfer, G., Damm, T., & Heieck, F.: "Exploring Variance in Reinforcement Learning Environment to Bridge the Sim-To-Real Gap: A Case Study in Color Mixing", in 2025 10th International Conference on Machine Learning Technologies (ICMLT 2025), IEEE, Piscataway, 2025, pp. 150–157. https://doi.org/10.1109/ICMLT65785.2025.11193289 
  • Heller, J., Lüdemann-Ravit, B., Penter, L., & Ihlenfeldt, S.: "Statistical Evaluation of Reaction and Movement Times in Pneumatic Systems for Sequential Control Optimization", in 2025 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA), IEEE, Piscataway, 2025, pp. 1–6. https://doi.org/10.1109/ACDSA65407.2025.11166330 
  • Gupta, P. K., Hoffmann, D., Lüdemann-Ravit, B., & Lüder, A.: "Standardized Data Exchange for Industrial Dataspaces Using Asset Administration Shell, AutomationML and OPC UA", in IFAC-PapersOnLine, vol. 59, no. 10, Proceedings of the 11th IFAC Conference on Manufacturing Modelling, Management and Control (MIM 2025), Trondheim, Norway, 2025, pp. 1235–1240. https://doi.org/10.1016/j.ifacol.2025.09.208 
  • Gupta, P. K., Mersch, T., Schleipen, M., Lüder, A., Hoffmann, D., & Lüdemann-Ravit, B.: "Boosting Manufacturing Agility by Leveraging the Synergy of AutomationML and OPC UA", in IFAC-PapersOnLine, vol. 59, no. 10, Proceedings of the 11th IFAC Conference on Manufacturing Modelling, Management and Control (MIM 2025), Trondheim, Norway, 2025, pp. 1247–1252. https://doi.org/10.1016/j.ifacol.2025.09.210 
  • Schäfer, G., Krau, T., Rehrl, J., Huber, S., & Hirlaender, S.: "The Crucial Role of Problem Formulation in Real-World Reinforcement Learning", in 2025 IEEE 8th International Conference on Industrial Cyber-Physical Systems (ICPS), IEEE, Piscataway, 2025, pp. 1–6. https://doi.org/10.1109/ICPS65515.2025.11087883 
  • Krau, T., Huber, F., Chirakal, T., Ricken, T., Lüdemann-Ravit, B., & Heieck, F.: "Efficient Federated Learning Integration into Existing MLOps Pipelines via Centralized Model Management", in Database and Expert Systems Applications - DEXA 2025 Workshops, L. Fischer, U. Göhner, S. Gül-Ficici, D. Jacob, G. Kotsis, A. M. Tjoa, & I. Khalil, Eds. Springer Nature, Cham, 2025, pp. 47–56. https://doi.org/10.1007/978-3-032-02003-1_4
  • Duve, M., Petasch, D., Lüdemann-Ravit, B., & Heieck, F.: "The Role of Metal Additive Manufacturing in a Circular Economy", in Advances in Automotive Production Technology – Digital Product Development and Manufacturing: Stuttgart Conference on Automotive Production (SCAP2024), D. Holder, F. Wulle, & J. Lind, Eds. Springer Nature Switzerland, Cham, 2025, pp. 383–401. https://doi.org/10.1007/978-3-031-88831-1_30 
  • Staudenrausch, T., & Lüdemann-Ravit, B.: "Cycle Time Measurement Using AI-Based Object Detection and Tracking in Industrial Processes", in Advances in Automotive Production Technology – Digital Product Development and Manufacturing: Stuttgart Conference on Automotive Production (SCAP2024), D. Holder, F. Wulle, & J. Lind, Eds. Springer Nature Switzerland, Cham, 2025, pp. 268–282. https://doi.org/10.1007/978-3-031-88831-1_22 
  • Knüpper, J., Haas, A., Lüdemann-Ravit, B., Schmitt, F., Grieser, P., Hanzelmann, A., Schleipen, M., & Genikomsidis, D.: "Measuring Resilience: A New Perspective on Assessing Production Facilities Through an OEE Based Resilience Metric", in Advances in Automotive Production Technology – Digital Product Development and Manufacturing: Stuttgart Conference on Automotive Production (SCAP2024), D. Holder, F. Wulle, & J. Lind, Eds. Springer Nature Switzerland, Cham, 2025, pp. 183–190. https://doi.org/10.1007/978-3-031-88831-1_16 
  • Klare, S., Shramenko, V., Klingel, L., Lüdemann-Ravit, B., & Verl, A.: "Towards Automotive Manufacturing Efficiency: Enhanced Virtual Commissioning Simulation for Dynamic Sheet Metal Handling Optimization", in Advances in Automotive Production Technology – Digital Product Development and Manufacturing: Stuttgart Conference on Automotive Production (SCAP2024), D. Holder, F. Wulle, & J. Lind, Eds. Springer Nature Switzerland, Cham, 2025, pp. 68–75. https://doi.org/10.1007/978-3-031-88831-1_6
  • Zavdoveev, A., Baudin, T., Brisset, F., Speicher, M., Klapatyuk, A., Gaivoronskiy, A., Poznyakov, V., Vedel, D., Klochkov, I., Junwen, J., Kopylov, V., Motrunich, S., Bevz, V., Pashinska, E., & Poida, A.: "High hardness Ta doped eutectic high entropy alloy by wire arc additive manufacturing", in The International Journal of Advanced Manufacturing Technology, 2025, pp. 1–8. https://doi.org/10.1007/s00170-025-15384-3 
  • Schäfer, G., Krau, T., Schirl, M., & Huber, S.: "Quantitative Trend Analysis of Reinforcement Learning Algorithms in Production Systems", in Computer Aided Systems Theory – EUROCAST 2024: 19th International Conference, Las Palmas de Gran Canaria, Spain, February 25 – March 1, 2024, Revised Selected Papers, Part II, A. Quesada-Arencibia, M. Affenzeller, & R. Moreno-Díaz, Eds. Springer, Cham, 2025, pp. 187–196. https://doi.org/10.1007/978-3-031-82957-4_17 
  • Fichtl, F., Ullrich, M., Heieck, F., & Lüdemann-Ravit, B.: "Machine Learning Based Parameter Estimation of Energy Models in Digital Production Environments", in Computer Aided Systems Theory – EUROCAST 2024: 19th International Conference, Las Palmas de Gran Canaria, Spain, February 25 – March 1, 2024, Revised Selected Papers, Part II, A. Quesada-Arencibia, M. Affenzeller, & R. Moreno-Díaz, Eds. Springer, Cham, 2025, pp. 157–164. https://doi.org/10.1007/978-3-031-82957-4_14 
  • Heller, J., Ullrich, M., Haas, A., Lüdemann-Ravit, B., Penter, L., & Ihlenfeldt, S.: "Einsatz digitaler Schatten in der Teilefertigung", in Zeitschrift für wirtschaftlichen Fabrikbetrieb, vol. 120, no. 3, 2025, pp. 192–198. https://doi.org/10.1515/zwf-2025-1028 

2024

  • Ullrich, M., Thalappully, R., Heieck, F., & Lüdemann-Ravit, B.: Virtual Commissioning of Linked Cells Using Digital Models in an Industrial Metaverse. Automation, 5(1), 2024, 1-12. https://doi.org/10.3390/automation5010001. 
  • Ullrich, M., Heller, J., Knüpper, J. and Lüdemann-Ravit, B.: "Eine Referenzarchitektur für das Industrial Metaverse", Zeitschrift für wirtschaftlichen Fabrikbetrieb, vol. 119, no. 3, 2024, pp. 186-191. https://doi.org/10.1515/zwf-2024-1033.
  • Thein, M., Bohn, M., Heieck, F., Hanafusa, A., Mohamaddan, S.: Design and Analysis of a Biomedical Orthosis for Clubfoot Corrective Device. In: Jarm, T., Šmerc, R., Mahnič-Kalamiza, S. (eds) 9th European Medical and Biological Engineering Conference. EMBEC 2024. IFMBE Proceedings, vol 112. Springer, Cham. https://doi.org/10.1007/978-3-031-61625-9_30. 
  • Heller, J.; Ullrich, M.; Knuepper, J.; Lüdemann-Ravit, B.: Collision Prevention In Operation-Synchronized Simulations Using Dynamic Prescheduling Of Simulation Parameters. In: Herberger, D.; Hübner, M. (Eds.): Proceedings of the CPSL 2024. Hannover: publish-Ing., 2024, S. 873-882. https://doi.org/10.15488/17774.
  • Haas, A., Nickol, S., Ullrich, M., Heller, J., Lüdemann-Ravit, B.: "3-Phasen-Implementierung der virtuellen Inbetriebnahme", maschinenbau - Die Deutschland-Ausgabe des Schweizer Industriemagazins, vol. 4, no.5, S.34-39. https://doi.org/10.1007/s44029-024-1221-5 

2023

  • Ullrich, M., Heller, J., Huwa, R., Lüdemann-Ravit, B.: Digitalisierung für eine branchenübergreifende Vernetzung, Maschinenbau - Die Deutschland-Ausgabe des Schweizer Industriemagazins, Springer Vieweg, May 2023, Wiesbaden, Germany.
  • M. Graner, F. Heieck, A. Fill, P. Birke, W. Hammami, and K. Litty, ‘Requirements for a Process to Remanufacture EV Battery Packs Down to Cell Level and Necessary Design Modifications’, in Advances in Automotive Production Technology – Towards Software-Defined Manufacturing and Resilient Supply Chains, N. Kiefl, F. Wulle, C. Ackermann, and D. Holder, Eds., in ARENA2036. Cham: Springer International Publishing, 2023, pp. 376–386. doi: 10.1007/978-3-031-27933-1_35.
  • Lüdemann-Ravit, B., Heieck, F.: Architecture Options to Orchestrate Digital Twins in an Industrial Metaverse for the Predictive Production with AI Method: Evaluation of Options and Proposal for a High-Level Roadmap, The Fifteenth International Conference on Pervasive Patterns and Applications, 26-30 Juni 2023, Nice, France.
  • F. G. Salentin, F. Huber, T. Kaufmann, M. Sandt, M. Graner, and D. Hartmann, ‘Gießerei 4.0 - KI-getriebene Handlungsempfehlungen für Gießprozesse’, Giesserei: die Zeitschrift für Technik, Innovation und Management, vol. 110, no. Ausgabe 7, pp. 36–43, 2023.
  • B. Lüdemann-Ravit, S. Vettermann: Industrial Metaverse in Industrial Application, Product-Data Journal: A Journal covering Applications, Products and Standards in Product Data Technology, prostep ivip e.V, Edition 2, 2023, Darmstadt.
  • F. Heieck, C. Kuon, A. Miene, P. Middendorf, and A. S. Herrmann, ‘Scatter of mechanical properties of 2D biaxial and triaxial braided reinforced composites and their correlation with visual features’, Composite Structures, vol. 322, p. 117409, Oct. 2023, doi: 10.1016/j.compstruct.2023.117409.
  • Lorch, C., Lüdemann-Ravit, B. (2023). A New IT Architecture for the Digital Factory. In: Kiefl, N., Wulle, F., Ackermann, C., Holder, D. (eds) Advances in Automotive Production Technology – Towards Software-Defined Manufacturing and Resilient Supply Chains. SCAP 2022. ARENA2036. Springer, Cham. https://doi.org/10.1007/978-3-031-27933-1_21.
  • Graner, M., Heieck, F., Fill, A., Birke, P., Hammami, W., Litty, K. (2023). Requirements for a Process to Remanufacture EV Battery Packs Down to Cell Level and Necessary Design Modifications. In: Kiefl, N., Wulle, F., Ackermann, C., Holder, D. (eds) Advances in Automotive Production Technology – Towards Software-Defined Manufacturing and Resilient Supply Chains. SCAP 2022. ARENA2036. Springer, Cham. doi.org/10.1007/978-3-031-27933-1_35.

2022

  • D. Hartmann, F. G. Salentin, R. Satlow, and H. Tschenett, ‘Datengetriebene Optimierung von Wandstärkenverteilungen duktiler Gusseisenrohre’, Österreichische Gießereitagung, Leoben, 14. Juli 2022. Fakultät Maschinenbau, pp. 1–25, 2022.
  • D. Hartmann and F. Huber, ‘Optimierung von Gießereiprozessen mit KI’, Steigerung der Energieeffizienz durch künstliche Intelligenz (KI) - Berichte aus der Praxis | #DBUdigital Online-Salon 27.06.2022. Fakultät Maschinenbau, 2022. [Online]. Available: https://youtu.be/iVTQl3d1cnk?t=4878.
  • Lorch C., Lüdemann-Ravit, B.: A New IT Architecture for the Digital Factory, Stuttgart Conference on Automotive Production (SCAP2022), 16-18 November 2022, Stuttgart, Germany.
  • Ullrich, M., Saad, C., Jacob, D. (2022). Robot System as a Testbed for AI Optimizations. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory – EUROCAST 2022. EUROCAST 2022. Lecture Notes in Computer Science, vol 13789. Springer, Cham. https://doi.org/10.1007/978-3-031-25312-6_66.

2021

  • Salentin, F. G., Hartmann, D. (2021). Datengetriebene Optimierung von Wandstärkenverteilungen duktiler Gusseisenrohre. GIESSEREI Special, 108(2).
  • Salentin, F. G., Sandt, M., Hartmann, D., Rudack, M. M., Bührig-Polaczek, A., Brait, M., ... & Schindelbacher, G. (2021). Digitalisierung in der Gießereitechnik, Teil 1: Herausforderungen und Chancen. Giesserei: die Zeitschrift für Technik, Innovation und Management, 108(6), 37-43.