Matthias Schmidt
Prof. Dr.-Ing. habil.

Contact
Prof. Dr.-Ing. habil. Matthias Schmidt
- Engineering
Research areas
- 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
Decentralized planning and control for assembly areas driven by Gentelligent® parts
Schmidt, M., Fronia, P., Fisser, F. & Nyhuis, P., 01.12.2007, Industrial Engineering and Engineering Management: 2007 IEEE International Conference on. IEEE - Institute of Electrical and Electronics Engineers Inc., p. 1088-1092 5 p. (IEEM).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
Decentralized control of assembly processes driven by Gentelligent® Parts
Schmidt, M., Fronia, P. & Nyhuis, P., 05.2010, In: International Journal of Management Science and Engineering Management. 5, 1, p. 59-64 6 p.Research output: Journal contributions › Journal articles › 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
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
- 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
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
- 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
- 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
- Published
Case study on delivery time determination using a machine learning approach in small batch production companies
Rokoss, A., Syberg, M., Tomidei, L., Hülsing, C., Deuse, J. & Schmidt, M., 12.2024, In: Journal of Intelligent Manufacturing. 35, 8, p. 3937-3958 22 p.Research output: Journal contributions › Journal articles › Research › peer-review