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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. Logistische Modelle für die Analyse innerbetrieblicher Lieferketten

      Nyhuis, P., Schmidt, M. & Becker, J., 2013, Produzieren in Deutschland - Wettbewerbsfähigkeit im 21. Jahrhundert. Friedewald, A. & Lödding, H. (eds.). Berlin: GITO mbH Verlag, p. 185-203 19 p.

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

    2. Logistische Modellierung von Lagerprozessen

      Schmidt, M. & Wriggers, F. S., 2008, Beiträge zu einer Theorie der Logistik. Nyhuis, P. (ed.). Berlin: Springer, p. 139-155 17 p.

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

    3. Logistisches Controlling von Montageprozessen: Ein modellbasierter Ansatz zur Effizienzsteigerung

      Schmidt, M., Münzberg, B. & Nyhuis, P., 2011, In: wt Werkstattstechnik online. 101, 9, p. 574-579 6 p.

      Research output: Journal contributions › Journal articles › Research

    4. Logistisches Montagecontrolling: Entwicklung eines Controllinginstruments zur Analyse von Montageprozessen

      Münzberg, B., Schmidt, M., Rochow, P. & Nyhuis, P., 18.12.2011, In: ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb. 106, 12, p. 969-973 5 p.

      Research output: Journal contributions › Journal articles › Research

    5. 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

    6. Mechanics of change: A framework to reconfigure manufacturing systems

      Azab, A. A., ElMaraghy, H., Nyhuis, P., Pachow-Frauenhofer, J. & Schmidt, M., 01.01.2013, In: CIRP - Journal of Manufacturing Science and Technology. 6, 2, p. 110-119 10 p.

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

    7. Published

      ML-basierte Absatzprognose mit Frühindikatoren

      Lopez, D. H., Kramer, K. & Schmidt, M., 16.05.2023, In: ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb. 118, 5, p. 324-329 6 p.

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

    8. 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

    9. Model-based logistic controlling of converging material flows

      Nyhuis, P., Beck, S. & Schmidt, M., 01.01.2013, In: CIRP Annals - Manufacturing Technology. 62, 1, p. 431-434 4 p.

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

    10. Model based logistic monitoring for supply and assembly processes

      Münzberg, B., Schmidt, M., Beck, S. & Nyhuis, P., 09.2012, In: Production Engineering. 6, 4-5, p. 449-458 10 p.

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

    11. Model Based Logistic Monitoring of Assembly Areas

      Schmidt, M., Münzberg, B. & Nyhuis, P., 03.2011, In: Global Business & Economics Anthology. 1, p. 97-103 7 p.

      Research output: Journal contributions › Journal articles › Research

    12. Model-based potential analysis of the distribution logistics: a case study

      Becker, J., Görke, M., Felix, C. & Schmidt, M., 03.07.2016, In: Production Planning & Control. The Management of Operations. 27, 9, p. 698-707 10 p.

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

    13. Modeling Converging Material Flows In The Supply Chain

      Beck, S., Schmidt, M. & Nyhuis, P., 2011, 21st International Conference on Production Research: Innovation in Product and Production, ICPR 2011 - Conference Proceedings. Spath, D., Ilg, R. & Krause, T. (eds.). Fraunhofer-Institut für Arbeitswirtschaft und Organisation, p. 966-970 5 p.

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

    14. Published

      Modeling Interactions and Dependencies in Production Planning and Control: An Approach for a Systematic Description

      Mütze, A., Lebbing, S., Hillnhagen, S., Schmidt, M. & Nyhuis, P., 04.03.2023, Smart, Sustainable Manufacturing in an Ever-Changing World: Proceedings of International Conference on Competitive Manufacturing (COMA ’22) . von Leipzig, K., Sacks, N. & Clelland, M. M. (eds.). Cham: Springer Schweiz, p. 31-44 14 p. (Lecture Notes in Production Engineering; vol. Part F1162).

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

    15. 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

    16. Modeling of Logistic Processes in Assembly Areas

      Schmidt, M., Berkholz, D. & Nyhuis, P., 2008, Proceedings of the World Congress on Engineering and Computer Science 2008. Ao, S. I., Douglas, C., Grundfest, W. S., Schruben, LE. & Borgstone, J. (eds.). Newswood Limited, p. 1067-1072 6 p. (Lecture Notes in Engineering and Computer Science; no. 2173).

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

    17. Modellierung logistischer Prozesse der Montage

      Schmidt, M., 2010, Garbsen: PZH Verlag. 146 p. (Berichte aus dem IFA; vol. 1/2011)

      Research output: Books and anthologies › Monographs › Research

    18. Modellierung logistischer Prozesse in der Montage: Erweiterung einer umfassenden Theorie der Logistik

      Schmidt, M., Wriggers, F. S. & Nyhuis, P., 2008, In: wt Werkstattstechnik online. 98, 9, p. 664-669 6 p.

      Research output: Journal contributions › Journal articles › Research

    19. Published

      Modelling Interdependencies Within Production Planning and Control: An Application-Motivated Approach

      Mütze, A., Hillnhagen, S., Schmidt, M. & Nyhuis, P., 2022, Advances in Production Management Systems : Smart Manufacturing and Logistics Systems: Turning Ideas into Action; IFIP WG 5.7 International Conference, APMS 2022 Gyeongju, South Korea, September 25–29, 2022 Proceedings, Part I. Kim, D. Y., von Cieminski, G. & Romero, D. (eds.). Cham: Springer Schweiz, p. 518-525 8 p. (IFIP Advances in Information and Communication Technology; vol. 663).

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

    20. 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

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