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Matthias Schmidt

Prof. Dr.-Ing. habil.

Matthias Schmidt

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Prof. Dr.-Ing. habil. Matthias Schmidt

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    1. 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

    2. 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

    3. 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

    4. 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

    5. Published

      Case study on delivery time determination using a machine learning approach in small batch production companies

      Rokoss, A., Syberg, M., Tomidei, L., Hülsing, C., Deuse, J. & Schmidt, M., 12.2024, In: Journal of Intelligent Manufacturing. 35, 8, p. 3937-3958 22 p.

      Research output: Journal contributions › Journal articles › Research › peer-review

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