Matthias Schmidt
Prof. Dr.-Ing. habil.
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Contact
Prof. Dr.-Ing. habil. Matthias Schmidt
- Engineering
Research areas
- 2022
- Published
PPC Task Plan Sourcing - Synchronization of Procurement and Production. A Model-based Observation
Hillnhagen, S., Koller, S-H., Mütze, A., Nyhuis, P. D. P. & 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.). Offenburg: publish-Ing., p. 287-296 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
- Published
The Potential of AutoML for Demand Forecasting
Kramer, K., Behn, 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. 682-692 11 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
- 2021
- 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
- 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
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
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
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
- 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
- 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