Matthias Schmidt
Prof. Dr.-Ing. habil.
Contact
Prof. Dr.-Ing. habil. Matthias Schmidt
- Engineering
Research areas
The Hanoverian Supply Chain Model: modelling the impact of production planning and control on a supply chain's logistic objectives
Schmidt, M. & Schäfers, P., 01.10.2017, In: Production Engineering. 11, 4-5, p. 487-493 7 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
Termineinhaltung versus Bestände - Positionierung mit einem Estscheidungsmodell
Schmidt, M. & Nyhuis, P., 28.04.2010, In: ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb. 105, 4, p. 328-332 5 p.Research output: Journal contributions › Journal articles › Research › peer-review
Systemzustandsbewertung eines gentelligenten Systems zur bauteilstatus-getriebenen Instandhaltung
Miebach, T., Schmidt, M. & Nyhuis, P., 18.12.2016, In: ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb. 111, 12, p. 789-792 4 p.Research output: Journal contributions › Journal articles › Research
Systematische modellbasierte Bestandsdimensionierung
Wriggers, F. S., Schmidt, M., Beck, S. & Nyhuis, P., 2008, In: wt Werkstattstechnik online. 98, 4, p. 280-284 5 p.Research output: Journal contributions › Journal articles › Research
- 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
Strategisches Supply-Chain-Risikomanagement: Einsatz von Künstlicher Intelligenz und Big Data zur Unterstützung des strategischen Supply-Chain-Risikomanagements
Kramer, K., Mousavi, D. & Schmidt, M., 30.05.2022, In: ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb. 117, 5, p. 349-353 5 p.Research output: Journal contributions › Journal articles › Research › peer-review
Standort- und Netzwerkplanung in Metropolregionen: Aktueller Forschungsbedarf bei Entscheidungsmodellen
Richter, L., Lübkemann, J., Schmidt, M. & Nyhuis, P., 2014, In: wt Werkstattstechnik online. 104, 4, p. 202-205 4 p.Research output: Journal contributions › Journal articles › Research
- Published
Simulation based optimization of lot sizes for opposing logistic objectives
Maier, J. T., Voß, T., Heger, J. & Schmidt, M., 01.09.2019, Advances in Production Management Systems : Towards Smart Production Management Systems; IFIP WG 5.7 International Conference, APMS 2019 Austin, TX, USA, September 1–5, 2019; Proceedings, Part II. Ameri, F., Stecke, K. E., von Cieminski, G. & Kiritsis, D. (eds.). Cham: Springer, Vol. 2. p. 171-179 9 p. (IFIP Advances in Information and Communication Technology; vol. 567).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
Simulation based comparison of safety-stock calculation methods
Schmidt, M., Hartmann, W. & Nyhuis, P., 01.01.2012, In: CIRP Annals - Manufacturing Technology. 61, 1, p. 403-406 4 p.Research output: Journal contributions › Journal articles › Research › peer-review