Matthias Schmidt

Prof. Dr.-Ing. habil.

Matthias Schmidt

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Prof. Dr.-Ing. habil. Matthias Schmidt

  1. 2024
  2. 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 contributionsJournal articlesResearchpeer-review

  3. 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/worksArticle in conference proceedingsResearchpeer-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 contributionsJournal articlesResearchpeer-review

  5. 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 contributionsJournal articlesResearchpeer-review

  6. 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/worksArticle in conference proceedingsResearchpeer-review

  7. 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/worksContributions to collected editions/anthologiesResearchpeer-review

  8. 2023
  9. 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 contributionsJournal articlesResearchpeer-review

  10. 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/worksArticle in conference proceedingsResearchpeer-review

  11. 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/worksChapterpeer-review

  12. 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 contributionsJournal articlesResearchpeer-review

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