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

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

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

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

Dimensionierung von Sicherheitsbeständen

Becker, J. & Schmidt, M., 2024, Management von Beständen in Supply Chains. Stölzle, W., Hofmann, E., Selensky, S. & Germann, T. (eds.). 2. ed. Zürich: Versus Verlag, p. 120-132 13 p.

Research output: Contributions to collected editions/works › Contributions to collected editions/anthologies › Research › peer-review

Fostering Circularity: Building a Local Community and Implementing Circular Processes

Schulz, J., Hillnhagen, S. & Schmidt, M., 01.01.2023, How can industrial management contribute to a brighter future?. Deuse, J. (ed.). GITO mbH Verlag, p. 55-75 21 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