Matthias Schmidt
Prof. Dr.-Ing. habil.
Contact
Prof. Dr.-Ing. habil. Matthias Schmidt
- Engineering
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
Investigation On The Influence Of Remanufacturing On Production Planning And Control – A Systematic Literature Review
Schulz, J., Hillnhagen, S. & Schmidt, M., 07.2024, Proceedings of the CPSL 2024. Herberger, D. & Hübner, M. (eds.). publish-Ing., p. 13-27 15 p. (Proceedings of the Conference on Production Systems and Logistics; vol. 2024).Research output: Contributions to collected editions/works › Article in conference proceedings › 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
- E-pub ahead of print
Case study on delivery time determination using a machine learning approach in small batch production companies
Rokoss, A., Syberg, M., Tomidei, L., Deuse, J. & Schmidt, M., 12.01.2024, (E-pub ahead of print) In: Journal of Intelligent Manufacturing. 23 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Analysis of the relevance of models, influencing factors and the point in time of the forecast on the prediction quality in order-related delivery time determination using machine learning
Rokoss, A., Popkes, L. & Schmidt, M., 2024, Proceedings of the CPSL 2024. Herberger, D. & Hübner, M. (eds.). Hannover: publish-Ing., p. 415-431 17 p. (Proceedings of the Conference on Production Systems and Logistics; vol. 2024).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Dimensionierung von Sicherheitsbeständen
Becker, J. & Schmidt, M., 2024, Management von Beständen in Supply Chains. Stölzle, W., Hofmann, E., Selensky, S. & Germann, T. (eds.). 2. ed. Zürich: Versus Verlag, p. 120-132 13 p.Research output: Contributions to collected editions/works › Contributions to collected editions/anthologies › Research › peer-review
- 2023
- 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
Modeling Interactions and Dependencies in Production Planning and Control: An Approach for a Systematic Description
Mütze, A., Lebbing, S., Hillnhagen, S., Schmidt, M. & Nyhuis, P., 04.03.2023, Smart, Sustainable Manufacturing in an Ever-Changing World: Proceedings of International Conference on Competitive Manufacturing (COMA ’22) . von Leipzig, K., Sacks, N. & Clelland, M. M. (eds.). Cham: Springer Schweiz, p. 31-44 14 p. (Lecture Notes in Production Engineering; vol. Part F1162).Research output: Contributions to collected editions/works › Chapter › 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