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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

    Machine Learning For Determining Planned Order Lead Times In Job Shop Production: A Systematic Review Of Input Factors And Applied Methods

    Wolter, F., Rokoss, A. & Schmidt, M., 2025, Conference on Production Systems and Logistics: University of San Ignacio de Loyola Lima, Peru, 18th – 21th March 2025, Proceedings. Herberger, D. & Hübner, M. (eds.). Offenburg: publish-Ing., p. 374-384 11 p. 32. (Proceedings of the ... Conference on Production Systems and Logistics; no. 7).

    Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

  2. Logistisches Montagecontrolling: Entwicklung eines Controllinginstruments zur Analyse von Montageprozessen

    Münzberg, B., Schmidt, M., Rochow, P. & Nyhuis, P., 18.12.2011, In: ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb. 106, 12, p. 969-973 5 p.

    Research output: Journal contributions › Journal articles › Research

  3. Logistisches Controlling von Montageprozessen: Ein modellbasierter Ansatz zur Effizienzsteigerung

    Schmidt, M., Münzberg, B. & Nyhuis, P., 2011, In: wt Werkstattstechnik online. 101, 9, p. 574-579 6 p.

    Research output: Journal contributions › Journal articles › Research

  4. Logistische Modellierung von Lagerprozessen

    Schmidt, M. & Wriggers, F. S., 2008, Beiträge zu einer Theorie der Logistik. Nyhuis, P. (ed.). Berlin: Springer Verlag, p. 139-155 17 p.

    Research output: Contributions to collected editions/works › Contributions to collected editions/anthologies › Research

  5. Logistische Modelle für die Analyse innerbetrieblicher Lieferketten

    Nyhuis, P., Schmidt, M. & Becker, J., 2013, Produzieren in Deutschland - Wettbewerbsfähigkeit im 21. Jahrhundert. Friedewald, A. & Lödding, H. (eds.). Berlin: GITO mbH Verlag, p. 185-203 19 p.

    Research output: Contributions to collected editions/works › Contributions to collected editions/anthologies › Research

  6. Logistische Lageranalyse und Methodenvalidierung: Projektergebnisse aus dem Elektronikwerk Amberg der Siemens AG

    Busse, T. D., Schmidt, M. & Wriggers, F. S., 2007, In: Industrie Management. 23, 5, p. 75-78 4 p.

    Research output: Journal contributions › Journal articles › Research

  7. Logistische Kennlinien für Lagerprozesse

    Wriggers, F. S., Schmidt, M., Grapentin, J. & Nyhuis, P., 2007, In: wt Werkstattstechnik online. 97, 9, p. 657-662 6 p.

    Research output: Journal contributions › Journal articles › Research

  8. Logistikcontrolling der unternehmensinternen Lieferkette: Entwicklung eines Vorgehensmodells zur quantitativen Analyse und Bewertung der Ursachen einer geringen logistischen Performance

    Härtel, L., Schmidt, M. & Nyhuis, P., 28.04.2017, In: ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb. 112, 4, p. 238-242 5 p.

    Research output: Journal contributions › Journal articles › Research

  9. Logistic Operating Curves in Theory and Practice

    Schmidt, M. (Editor) & Nyhuis, P., 22.03.2011, Advances in Computer Science and Engineering. Schmidt, M. (ed.). Rijeka: InTech Open Access Publisher, p. 371-390 19 p.

    Research output: Contributions to collected editions/works › Contributions to collected editions/anthologies › Research

  10. Published

    Logistical Potentials of Load Balancing via the Build-up and Reduction of Stock

    Heuer, T., Maier, J. T., Busse, T. D., Schmidt, M. & Nyhuis, P., 2021, 2021 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2021: 13 - 16 December 2021. Piscataway: IEEE - Institute of Electrical and Electronics Engineers Inc., p. 264-269 6 p. (2021 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2021).

    Research output: Contributions to collected editions/works › Chapter › peer-review

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