Matthias Schmidt
Prof. Dr.-Ing. habil.
Contact
Prof. Dr.-Ing. habil. Matthias Schmidt
- Engineering
Research areas
- Journal articles › Research › Peer-reviewed
Modeling of lateness distributions depending on the sequencing method with respect to productivity effects
Bertsch, S., Schmidt, M. & Nyhuis, P., 2014, In: CIRP Annals - Manufacturing Technology. 63, 1, p. 429-432 4 p.Research output: Journal contributions › Journal articles › Research › peer-review
Modelling lateness and schedule reliability: How companies can produce on time
Lödding, H., Nyhuis, P., Schmidt, M. & Kuyumcu, A., 02.01.2014, In: Production Planning & Control. The Management of Operations. 25, 1, p. 59-72 14 p.Research output: Journal contributions › Journal articles › Research › peer-review
Oft rüsten hilft viel: Losgrößenbildung in der Produktion
Nyhuis, P., Münzberg, B. & Schmidt, M., 01.01.2013, In: Controlling. 25, 8-9, p. 479-486 8 p.Research output: Journal contributions › Journal articles › Research › peer-review
Priority Rule-based Planning Approaches for Regeneration Processes
Hoffmann, L. S., Kuprat, T., Kellenbrink, C., Schmidt, M. & Nyhuis, P., 01.01.2017, In: Procedia CIRP. 59, p. 89-94 6 p.Research output: Journal contributions › Journal articles › Research › peer-review
Reduction of capital tie up for assembly processes
Nyhuis, P., Schmidt, M. & Wriggers, F. S., 01.01.2008, In: CIRP Annals - Manufacturing Technology. 57, 1, p. 481-484 4 p.Research output: Journal contributions › Journal articles › Research › peer-review
Schedule compliance operating curves and their application in designing the supply chain of a metal producer
Schmidt, M., Bertsch, S. & Nyhuis, P., 25.01.2014, In: Production Planning Control. 25, 2, p. 123-133 11 p.Research output: Journal contributions › Journal articles › 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
- 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
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
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