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Matthias Schmidt

Prof. Dr.-Ing. habil.

Matthias Schmidt

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Prof. Dr.-Ing. habil. Matthias Schmidt

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    1. Journal articles › Research › Peer-reviewed

    2. 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

    3. 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

    4. Published

      Quantifying circular economy pathways of decommissioned onshore wind turbines: The case of Denmark and Germany

      Kramer, K. J., Abrahamsen, A. B., Beauson, J., Hansen, U. E., Clausen, N. E., Velenturf, A. P. M. & Schmidt, M., 09.2024, In: Sustainable Production and Consumption. 2024, 49, p. 179-192 14 p.

      Research output: Journal contributions › Journal articles › Research › peer-review

    5. 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

    6. 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

    7. 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

    8. 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

    9. 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

    10. 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

    11. Towards Quantitative Factory Life Cycle Evaluation

      Nielsen, L., Schmidt, C., Blume, S., Schmidt, M., Thiede, S., Nyhuis, P. & Herrmann, C., 12.2016, In: Procedia CIRP. 55, p. 266-271 6 p.

      Research output: Journal contributions › Journal articles › Research › peer-review

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