Matthias Schmidt
Prof. Dr.-Ing. habil.
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Contact
Prof. Dr.-Ing. habil. Matthias Schmidt
- Engineering
Research areas
- 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
- 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
- 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
- Published
Eilaufträge logistisch beherrschen
Heuer, T., Nyhuis, P., Maier, J. T. & Schmidt, M., 2021, In: wt Werkstattstechnik online. 111, 4, p. 185-189 5 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
The effects of hybrid order processing strategies on economic and logistic objectives
Maier, J. T., Heuer, T., Nyhuis, P. & Schmidt, M., 01.01.2021, In: Procedia CIRP. 96, p. 266-271 6 p.Research output: Journal contributions › Conference article in journal › Research › peer-review
- 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
- Published
Datenbasierte Ursachenanalysen zur Verbesserung der logistischen Zielerreichung
Schmidt, M., Maier, J. T. & Härtel, L., 09.2020, Mensch-Technik-Interaktion in der digitalisierten Arbeitswelt. Freitag, M. (ed.). Berlin: GITO mbH Verlag, p. 171-191 21 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
- 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
- Published
Supporting the Decision of the Order Processing Strategy by Using Logistic Models: A Case Study
Maier, J. T., Heuer, T., Nyhuis, P. & 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 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. 343-350 8 p. (IFIP Advances in Information and Communication Technology; vol. 591).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- 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