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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. Article in conference proceedings › Research › Peer-reviewed
    2. Published

      Using Digitalization As An Enabler For Changeability In Production Systems In A Learning Factory Environment

      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. 730-739 10 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

    3. Published

      Why a Systematic Investigation of Production Planning and Control Procedures is Needed for the Target-oriented Configuration of PPC

      Mütze, A., Hillnhagen, S., Schäfers, P., Schmidt, M. & Nyhuis, P., 14.12.2020, 2020 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2020: 14 - 17 December 2020. Piscataway: IEEE - Institute of Electrical and Electronics Engineers Inc., p. 103-107 5 p. 9309885. (IEEE International Conference on Industrial Engineering and Engineering Management; vol. 2020-December).

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

    4. Contributions to collected editions/anthologies › Research › Not peer-reviewed

    5. Gentelligente Bauteile im Lebenszyklus: Prozessveränderungen durch Gentelligente Technologie

      Nyhuis, P., Schmidt, M. & Schulze, C. P., 2008, Technologiegetriebene Veränderungen der Arbeitswelt. Scholz-Reiter, B. (ed.). Berlin: GITO mbH Verlag, p. 293-312 10 p. (Schriftenreihe der Hochschulgruppe für Arbeits- und Betriebsorganisation e.V. (HAB)).

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

    6. Logistic Operating Curves in Theory and Practice

      Schmidt, M. (ed.) & 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

    7. 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

    8. Logistische Modellierung von Lagerprozessen

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

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

    9. Produktionsplanung und -steuerung

      Schmidt, M., 2008, Handbuch Logistik. Arnold, D., Isermann, H., Kuhn, A., Tempelmeier, H. & Furmans, K. (eds.). 3 ed. Berlin, Heidelberg ua.: VDI Verlag GmbH & Co. KG, p. 323-343 21 p.

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

    10. Veränderung in der Produktionsplanung und -steuerung

      Nyhuis, P., Hübner, M., Quirico, M., Schäfers, P. & Schmidt, M., 10.04.2017, Handbuch Industrie 4.0: Geschäftsmodelle, Prozesse, Technik. Reinhart, G. (ed.). München: Carl Hanser Verlag GmbH & Co. KG, p. 31-50 20 p.

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

    11. Contributions to collected editions/anthologies › Research › Peer-reviewed
    12. 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

    13. 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

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