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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. 2016

    2. Model-based Analysis of Reassembly Processes within the Regeneration of Complex Capital Goods

      Kuprat, T., Schmidt, M. & Nyhuis, P., 12.2016, In: Procedia CIRP. 55, p. 206-211 6 p.

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

    3. 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

    4. Gestaltung von Regenerationslieferketten: Bewertung der Synchronität mithilfe des Bereitstellungsdiagrammes

      Kuprat, T., Schmidt, M. & Nyhuis, P., 18.12.2016, In: ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb. 111, 12, p. 809-812 4 p.

      Research output: Journal contributions › Journal articles › Research

    5. 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

    6. 2017

    7. 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

    8. 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

    9. 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

    10. 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

    11. 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

    12. 2018

    13. 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

    14. 2019
    15. 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

    16. 2020
    17. 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

    18. 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

    19. 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

    20. Published

      Eine bibliometrische Analyse: Produktionsplanung und -steuerung und maschinelles Lernen

      Schmidt, M., Maier, J. T. & Grothkopp, M., 14.05.2020, In: wt Werkstattstechnik online. 110, 4, p. 220-225 6 p.

      Research output: Journal contributions › Journal articles › Research

    21. Published

      Auslegung der Auftragsabwicklungsstrategie: Modellbasierte Entscheidungsunterstützung zur Sicherung der Wettbewerbsfähigkeit produzierender Unternehmen

      Heuer, T., Maier, J. T., Seitz, M., Schmidt, M. & Nyhuis, P., 06.2020, In: ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb. 115, 6, p. 399-404 6 p.

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

    22. 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

    23. Published

      Why a Systematic Investigation of Production Planning and Control Procedures is Needed for the Target-oriented Configuration of PPC

      Mütze, A., Hillnhagen, S., Schäfers, P., Schmidt, M. & Nyhuis, P., 14.12.2020, 2020 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2020: 14 - 17 December 2020. Piscataway: IEEE - Institute of Electrical and Electronics Engineers Inc., p. 103-107 5 p. 9309885. (IEEE International Conference on Industrial Engineering and Engineering Management; vol. 2020-December).

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

    24. 2021
    25. Published

      A learning factory approach on machine learning in production companies: How a learning factory approach can help to increase the understanding of the application of machine learning on production planning and control tasks

      Rokoss, A., Kramer, K. & Schmidt, M., 2021, Competence development and learning assistance systems for the data-driven future. Sihn, W. & Schlund, S. (eds.). Berlin: GITO mbH Verlag, p. 125-142 18 p. (Schriftenreihe der Wissenschaftlichen Gesellschaft für Arbeits- und Betriebsorganisation (WGAB) e.V.).

      Research output: Contributions to collected editions/works › Contributions to collected editions/anthologies › Research › peer-review

    26. 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

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