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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. Advances in Computer Science and Engineering

      Schmidt, M. (ed.), 22.03.2011, Rijeka: InTech Open Access Publisher. 472 p. (Advances in Intelligent and Soft Computing)

      Research output: Books and anthologies › Collected editions and anthologies › Research

    2. A genetic algorithm for a self-learning parameterization of an aerodynamic part feeding system for high-speed assembly

      Busch, J., Quirico, M., Richter, L., Schmidt, M., Raatz, A. & Nyhuis, P., 2015, In: CIRP Annals - Manufacturing Technology. 64, 1, p. 5-8 4 p.

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

    3. Published

      A Genetic Algorithm for the Dynamic Management of Cellular Reconfigurable Manufacturing Systems

      Maier, J. T., Schmidt, M., Galizia, F. G., Bortolini, M. & Ferrari, E., 01.01.2023, Sustainable Design and Manufacturing: Proceedings of the 9th International Conference on Sustainable Design and Manufacturing (SDM 2022). Scholz, S. G., Howlett, R. J. & Setchi, R. (eds.). Springer Singapur, p. 21-32 12 p. (Smart Innovation, Systems and Technologies; vol. 338).

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

    4. 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

    5. Analyse und Gestaltung von Fabriklebenszyklen

      Schmidt, C., Nielsen, L., Thiede, S., Schmidt, M., Herrmann, C. & Nyhuis, P., 28.06.2016, In: ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb. 111, 6, p. 333-336 4 p.

      Research output: Journal contributions › Journal articles › Research

    6. A New Framework for Production Planning and Control to Support the Positioning in Fields of Tension Created by Opposing Logistic Objectives

      Schmidt, M. & Schäfer, P., 07.2017, In: Modern Economy. 8, 7, p. 910-920 11 p.

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

    7. 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

    8. Published

      Application of Machine Learning on Transport Spot Rate Prediction In the Recycling Industry

      Green, T., Rokoss, A., Kramer, K. & Schmidt, M., 2022, Conference on Production Systems and Logistics: International Conference, CPSL 2022, hosted at the University of British Columbia in Vancouver, Canada, 17th May 2022 – 20th May 2022, Proceedings. Herberger, D. & Hübner, M. (eds.). Hannover: publish-Ing., p. 554-563 10 p. (Proceedings of the Conference on Production Systems and Logistics; vol. 3).

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

    9. Published

      A Systematic Literature Review Of Machine Learning Approaches For The Prediction Of Delivery Dates

      Maier, J. T., Rokoss, A., Green, T., Brkovic, N. & Schmidt, M., 2022, Conference on Production Systems and Logistics: International Conference, CPSL 2022, hosted at the University of British Columbia in Vancouver, Canada, 17th May 2022 – 20th May 2022, Proceedings. Herberger, D. & Hübner, M. (eds.). Hannover: publish-Ing., p. 121-130 10 p. (Proceedings of the Conference on Production Systems and Logistics; vol. 3).

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

    10. Published

      Auslegung der Auftragsabwicklungsstrategie: Modellbasierte Entscheidungsunterstützung zur Sicherung der Wettbewerbsfähigkeit produzierender Unternehmen

      Heuer, T., Maier, J. T., Seitz, M., Schmidt, M. & Nyhuis, P., 06.2020, In: ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb. 115, 6, p. 399-404 6 p.

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

    11. Bauteile als Informationsträger verändern zukünftige Fabriken

      Nyhuis, P., Fisser, F. & Schmidt, M., 2006, In: Industrie Management. 22, 1, p. 19-22 4 p.

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

    12. Bauteilgetriebene Planung und Steuerung entlang der Lieferkette

      Schmidt, M., Fronia, P., Fisser, F. & Nyhuis, P., 2008, In: PPS Management. 13, 1, p. 51-54 4 p.

      Research output: Journal contributions › Journal articles › Research

    13. Bauteilgetrieben Montagesteuerung und Fabrikstrukturierung durch Nutzung Gentelligenter Technologie

      Nyhuis, P., Schulze, C. P., Hartmann, W., Schmidt, M. & Herde, F., 2009, In: Industrie Management. 25, 2, p. 13-16 4 p.

      Research output: Journal contributions › Journal articles › Research

    14. Beeinflussung logistischer Zielgrößen in der unternehmensinternen Lieferkette durch die Produktionsplanung und -steuerung und das Produktionscontrolling

      Schmidt, M., 2018, Hannover: PZH Verlag. 322 p.

      Research output: Books and anthologies › Post-doctoral dissertations

    15. 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 contributions › Journal articles › Research › peer-review

    16. Published

      Circular supply chain management for the wind energy industry: Conceptional ideas towards more circularity

      Kramer, K. & Schmidt, M., 14.09.2022, Digitization of the work environment for sustainable production. Plapper, P. (ed.). Berlin: GITO mbH Verlag, p. 61-80 20 p. (Schriftenreihe der Wissenschaftlichen Gesellschaft für Arbeits- und Betriebsorganisation (WGAB) e. V.).

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

    17. 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/works › Article in conference proceedings › Research › peer-review

    18. Controlling the Time Synchronicity of Convergent Supply Processes

      Beck, S., Schmidt, M. & Nyhuis, P., 2011, Proceedings of the World Congress on Engineering and Computer Science 2011: Volum II. Ao, S. I., Douglas, C., Grundfest, W. S. & Burgstone, J. (eds.). Newswood Limited, p. 1150-1154 5 p. (Proceedings of the World Congress on Engineering and Computer Science ; vol. 2011, no. 2).

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

    19. Published

      Data based analysis of order processing strategies to support the positioning between conflicting economic and logistic objectives

      Maier, J. T., Heuer, T., Stoffersen, H., Nyhuis, P. & Schmidt, M., 01.01.2022, In: Procedia CIRP. 107, p. 332-337 6 p.

      Research output: Journal contributions › Conference article in journal › Research › peer-review

    20. Published

      Data based root cause analysis for improving logistic key performance indicators of a company’s internal supply chain

      Schmidt, M., Maier, J. T. & Härtel, L., 2020, In: Procedia CIRP. 86, p. 276-281 6 p.

      Research output: Journal contributions › Conference article in journal › Research › peer-review

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