Kathrin Kramer

Contact
Kathrin Kramer
- Engineering - Circular Economy, Supply Chain Management, Wind Energy, Artificial Intelligence, Production Management
Research areas
- 2024
- Published
Quantifying circular economy pathways of decommissioned onshore wind turbines: The case of Denmark and Germany
Kramer, K. J., Abrahamsen, A. B., Beauson, J., Hansen, U. E., Clausen, N. E., Velenturf, A. P. M. & Schmidt, M., 01.09.2024, In: Sustainable Production and Consumption. 49, p. 179-192 14 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Zukunftslabor Produktion: Vernetzung, Modellierung und Optimierung in der industriellen Produktion
Kallisch, J., Denkena, B., Kramer, K., Stürenburg, L., Pachandrin, S., Rokicki, M., Walter, J., Nein, M., Voss, M., Wunck, C., Niemann, K. H., Schmidt, M., Dilger, K., Niederée, C. & Hoffmann, N., 05.2024, In: ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb. 119, 5, p. 372-377 6 p.Research output: Journal contributions › Journal articles › Research › peer-review
- 2023
- Published
Review existing strategies to improve circularity, sustainability and resilience of wind turbine blades - A comparison of research and industrial initiatives in Europe
Kramer, K. & Beauson, J., 01.11.2023, IOP Conference Series: Materials Science and Engineering. I. O. P. (ed.). 1 ed. Bristol: IOP Publishing Ltd, Vol. 1293. 21 p. 012039. (IOP conference series / Materials science and engineering; vol. 1293).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
ML-basierte Absatzprognose mit Frühindikatoren
Lopez, D. H., Kramer, K. & Schmidt, M., 16.05.2023, In: ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb. 118, 5, p. 324-329 6 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Circular Supply Chain Management in the Wind Energy Industry - A Systematic Literature Review
Kramer, K. & Schmidt, M., 26.04.2023, Manufacturing Driving Circular Economy: Proceedings of the 18th Global Conference on Sustainable Manufacturing, October 5-7, 2022, Berlin. Kohl, H., Seliger, G. & Dietrich, F. (eds.). Cham: Springer Schweiz, p. 85-93 9 p. (Lecture Notes in Mechanical Engineering).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
KI-Kanban-Behälter: Mobile, dezentrale Logistikdatenerfassung mittels Edge-ML
Rokoss, A., Popkes, L., Kramer, K., Green, T. & Schmidt, M., 11.02.2023, In: ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb. 118, 1-2, p. 59-63 5 p.Research output: Journal contributions › Journal articles › Research › peer-review
- 2022
- Published
Circular supply chain management for the wind energy industry: Conceptional ideas towards more circularity
Kramer, K. & Schmidt, M., 14.09.2022, Digitization of the work environment for sustainable production. Plapper, P. (ed.). Berlin: GITO mbH Verlag, p. 61-80 20 p. (Schriftenreihe der Wissenschaftlichen Gesellschaft für Arbeits- und Betriebsorganisation (WGAB) e. V.).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Strategisches Supply-Chain-Risikomanagement: Einsatz von Künstlicher Intelligenz und Big Data zur Unterstützung des strategischen Supply-Chain-Risikomanagements
Kramer, K., Mousavi, D. & Schmidt, M., 30.05.2022, In: ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb. 117, 5, p. 349-353 5 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Application of Machine Learning on Transport Spot Rate Prediction In the Recycling Industry
Green, T., Rokoss, A., Kramer, K. & Schmidt, M., 2022, Conference on Production Systems and Logistics: International Conference, CPSL 2022, hosted at the University of British Columbia in Vancouver, Canada, 17th May 2022 – 20th May 2022, Proceedings. Herberger, D. & Hübner, M. (eds.). Hannover: publish-Ing., p. 554-563 10 p. (Proceedings of the Conference on Production Systems and Logistics; vol. 3).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
The Potential of AutoML for Demand Forecasting
Kramer, K., Behn, N. & Schmidt, M., 2022, Conference on Production Systems and Logistics: International Conference, CPSL 2022, hosted at the University of British Columbia in Vancouver, Canada, 17th May 2022 – 20th May 2022, Proceedings. Herberger, D. & Hübner, M. (eds.). Hannover: publish-Ing., p. 682-692 11 p. (Proceedings of the Conference on Production Systems and Logistics; vol. 3).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- 2021
- Published
Anwendungen des maschinellen Lernens in der Produktion aus Auftrags- und Produktsicht: Ein Überblick
Denkena, B., Dittrich, M.-A., Noske, H., Kramer, K. & Schmidt, M., 19.05.2021, In: ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb. 116, 5, p. 358-362 5 p.Research output: Journal contributions › Journal articles › Research
- Published
A learning factory approach on machine learning in production companies: How a learning factory approach can help to increase the understanding of the application of machine learning on production planning and control tasks
Rokoss, A., Kramer, K. & Schmidt, M., 2021, Competence development and learning assistance systems for the data-driven future. Sihn, W. & Schlund, S. (eds.). Berlin: GITO mbH Verlag, p. 125-142 18 p. (Schriftenreihe der Wissenschaftlichen Gesellschaft für Arbeits- und Betriebsorganisation (WGAB) e.V.).Research output: Contributions to collected editions/works › Contributions to collected editions/anthologies › Research › peer-review
- Published
Do We Really Know The Benefit Of Machine Learning In Production Planning And Control? A Systematic Review Of Industry Case Studies
Kramer, K., Rokoss, A. & Schmidt, M., 2021, Conference on Production Systems and Logistics: International Conference, CPSL 2021, Digital Event hosted via publish-Ing; August 10-11, 2021; Proceedings. Herberger, D. & Hübner, M. (eds.). Offenburg: publish-Ing., p. 223-233 11 p. (Proceedings of the ... Conference on Production Systems and Logistics; vol. 2).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- 2020
- Published
Machine Learning-Supported Planning of Lead Times in Job Shop Manufacturing
Kramer, K., Wagner, C. & Schmidt, M., 2020, Advances in Production Management Systems. The Path to Digital Transformation and Innovation of Production Management Systems - IFIP WG 5.7 International Conference, APMS 2020, Proceedings: The Path to Digital Transformation and Innovation of Production Management Systems IFIP WG 5.7 International Conference, APMS 2020 Novi Sad, Serbia, August 30 – September 3, 2020 Proceedings, Part I. Lalic, B., Marjanovic, U., Majstorovic, V., von Cieminski, G. & Romero, D. (eds.). Cham: Springer, Vol. 1. p. 363-370 8 p. (IFIP Advances in Information and Communication Technology; vol. 591 IFIP).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review