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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. 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

    2. 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

    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. 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

    5. Published

      Machine Learning-Supported Planning of Lead Times in Job Shop Manufacturing

      Kramer, K., Wagner, C. & Schmidt, M., 2020, Advances in Production Management Systems. The Path to Digital Transformation and Innovation of Production Management Systems - IFIP WG 5.7 International Conference, APMS 2020, Proceedings: The Path to Digital Transformation and Innovation of Production Management Systems IFIP WG 5.7 International Conference, APMS 2020 Novi Sad, Serbia, August 30 – September 3, 2020 Proceedings, Part I. Lalic, B., Marjanovic, U., Majstorovic, V., von Cieminski, G. & Romero, D. (eds.). Cham: Springer, Vol. 1. p. 363-370 8 p. (IFIP Advances in Information and Communication Technology; vol. 591 IFIP).

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

    6. Mechanics of change: A framework to reconfigure manufacturing systems

      Azab, A. A., ElMaraghy, H., Nyhuis, P., Pachow-Frauenhofer, J. & Schmidt, M., 01.01.2013, In: CIRP - Journal of Manufacturing Science and Technology. 6, 2, p. 110-119 10 p.

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

    7. 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

    8. Model-based Analysis of Reassembly Processes within the Regeneration of Complex Capital Goods

      Kuprat, T., Schmidt, M. & Nyhuis, P., 12.2016, In: Procedia CIRP. 55, p. 206-211 6 p.

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

    9. Model-based logistic controlling of converging material flows

      Nyhuis, P., Beck, S. & Schmidt, M., 01.01.2013, In: CIRP Annals - Manufacturing Technology. 62, 1, p. 431-434 4 p.

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

    10. Model based logistic monitoring for supply and assembly processes

      Münzberg, B., Schmidt, M., Beck, S. & Nyhuis, P., 09.2012, In: Production Engineering. 6, 4-5, p. 449-458 10 p.

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

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