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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. 2020
    2. 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

    3. Published

      Machine Learning-Supported Planning of Lead Times in Job Shop Manufacturing

      Kramer, K., Wagner, C. & 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, Proceedings: 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. 363-370 8 p. (IFIP Advances in Information and Communication Technology; vol. 591 IFIP).

      Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

    4. 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

    5. 2019
    6. 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

    7. 2018

    8. Beeinflussung logistischer Zielgrößen in der unternehmensinternen Lieferkette durch die Produktionsplanung und -steuerung und das Produktionscontrolling

      Schmidt, M., 2018, Hannover: PZH Verlag. 322 p.

      Research output: Books and anthologies › Post-doctoral dissertations

    9. 2017

    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. A New Framework for Production Planning and Control to Support the Positioning in Fields of Tension Created by Opposing Logistic Objectives

      Schmidt, M. & Schäfer, P., 07.2017, In: Modern Economy. 8, 7, p. 910-920 11 p.

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

    12. Logistikcontrolling der unternehmensinternen Lieferkette: Entwicklung eines Vorgehensmodells zur quantitativen Analyse und Bewertung der Ursachen einer geringen logistischen Performance

      Härtel, L., Schmidt, M. & Nyhuis, P., 28.04.2017, In: ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb. 112, 4, p. 238-242 5 p.

      Research output: Journal contributions › Journal articles › Research

    13. Veränderung in der Produktionsplanung und -steuerung

      Nyhuis, P., Hübner, M., Quirico, M., Schäfers, P. & Schmidt, M., 10.04.2017, Handbuch Industrie 4.0: Geschäftsmodelle, Prozesse, Technik. Reinhart, G. (ed.). München: Carl Hanser Verlag GmbH & Co. KG, p. 31-50 20 p.

      Research output: Contributions to collected editions/works › Contributions to collected editions/anthologies › Research

    14. 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

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