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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

      Wirkzusammenhänge innerhalb der Produktionsplanung und -steuerung: Ein Ansatz zur generischen Modellierung der Zusammenhänge zwischen Aufgaben der PPS und produktionslogistischen Zielgrößen

      Hillnhagen, S., Green, T., Maier, J. T., Mütze, A. & Schmidt, M., 01.12.2021, In: ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb. 116, 12, p. 889-894 6 p.

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

    2. Published

      Effects Of Different Order Processing Strategies On Operating Curves Of Logistic Models: A Comparison Of Make-to-Order And Make-to-Stock

      Wolff, K., Maier, J. T., Heuer, T., Nyhuis, P. & Schmidt, M., 2021, In: Journal of Production Systems and Logistics. 2021, 1, 12 p., 18.

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

    3. Published

      Produktionsplanung und -steuerung im Hannoveraner Lieferkettenmodell: Innerbetrieblicher Abgleich logistischer Zielgrößen

      Schmidt, M. & Nyhuis, P., 2021, 1. ed. Berlin: Springer Vieweg. 217 p.

      Research output: Books and anthologies › Monographs › Research › peer-review

    4. Published

      Decisions And Characteristics During The Development Process Of A Software Demonstrator For Data Analysis In Production Logistics

      Maier, J. T., Berger, S., Heuer, T., Nyhuis, P. & 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. 514-523 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

    5. 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

    6. Published

      Do We Really Know The Benefit Of Machine Learning In Production Planning And Control? A Systematic Review Of Industry Case Studies

      Kramer, K., 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. 223-233 11 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

    7. Published

      Linked Accomplishment Of Order Management And Production Planning And Control. An Integrated Model-based Approach

      Hillnhagen, S., Mütze, A., Nyhuis, P. & Schmidt, M., 2021, Conference on Production Systems and Logistics: International Conference, CPSL 2021, Digital Event hosted via publish-Ing; August 10-11, 202;1 Proceedings. Herberger, D. & Hübner, M. (eds.). Offenburg: publish-Ing., p. 688 - 698 11 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

    8. 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

    9. Published

      Outperformed by a Computer? - Comparing Human Decisions to Reinforcement Learning Agents, Assigning Lot Sizes in a Learning Factory: 11th Conference on Learning Factories, CLF2021

      Voß, T., Rokoss, A., Maier, J. T., Schmidt, M. & Heger, J., 06.2021, Rochester: Elsevier Inc., 6 p. (SSRN).

      Research output: Working paper › Working papers

    10. Published

      Anwendungen des maschinellen Lernens in der Produktion aus Auftrags- und Produktsicht: Ein Überblick

      Denkena, B., Dittrich, M-A., Noske, H., Kramer, K. & Schmidt, M., 19.05.2021, In: ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb. 116, 5, p. 358-362 5 p.

      Research output: Journal contributions › Journal articles › Research

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