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Alexander Rokoss

Alexander Rokoss

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Alexander Rokoss

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    1 - 10 out of 10Page size: 10
    1. 2024
    2. Published

      Case study on delivery time determination using a machine learning approach in small batch production companies

      Rokoss, A., Syberg, M., Tomidei, L., Hülsing, C., Deuse, J. & Schmidt, M., 12.2024, In: Journal of Intelligent Manufacturing. 35, 8, p. 3937-3958 22 p.

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

    3. Published

      The Influence Of Product Reuse On Production Planning and Control

      Schulz, J., Rokoss, A. & Schmidt, M., 27.11.2024, In: Procedia CIRP. 130, p. 1543-1548 6 p.

      Research output: Journal contributions › Conference article in journal › Research › peer-review

    4. Published

      Analysis of the relevance of models, influencing factors and the point in time of the forecast on the prediction quality in order-related delivery time determination using machine learning

      Rokoss, A., Popkes, L. & Schmidt, M., 2024, Proceedings of the CPSL 2024. Herberger, D. & Hübner, M. (eds.). Hannover: publish-Ing., p. 415-431 17 p. (Proceedings of the Conference on Production Systems and Logistics; vol. 2024).

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

    5. 2023
    6. Published

      KI-Kanban-Behälter: Mobile, dezentrale Logistikdatenerfassung mittels Edge-ML

      Rokoss, A., Popkes, L., Kramer, K., Green, T. & Schmidt, M., 11.02.2023, In: ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb. 118, 1-2, p. 59-63 5 p.

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

    7. 2022
    8. Published

      Application of Machine Learning on Transport Spot Rate Prediction In the Recycling Industry

      Green, T., Rokoss, A., Kramer, K. & Schmidt, M., 2022, Conference on Production Systems and Logistics: International Conference, CPSL 2022, hosted at the University of British Columbia in Vancouver, Canada, 17th May 2022 – 20th May 2022, Proceedings. Herberger, D. & Hübner, M. (eds.). Hannover: publish-Ing., p. 554-563 10 p. (Proceedings of the Conference on Production Systems and Logistics; vol. 3).

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

    9. Published

      A Systematic Literature Review Of Machine Learning Approaches For The Prediction Of Delivery Dates

      Maier, J. T., Rokoss, A., Green, T., Brkovic, N. & Schmidt, M., 2022, Conference on Production Systems and Logistics: International Conference, CPSL 2022, hosted at the University of British Columbia in Vancouver, Canada, 17th May 2022 – 20th May 2022, Proceedings. Herberger, D. & Hübner, M. (eds.). Hannover: publish-Ing., p. 121-130 10 p. (Proceedings of the Conference on Production Systems and Logistics; vol. 3).

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

    10. 2021
    11. Published

      Outperformed by a Computer? - Comparing Human Decisions to Reinforcement Learning Agents, Assigning Lot Sizes in a Learning Factory: 11th Conference on Learning Factories, CLF2021

      Voß, T., Rokoss, A., Maier, J. T., Schmidt, M. & Heger, J., 06.2021, Rochester: Elsevier Inc., 6 p. (SSRN).

      Research output: Working paper › Working papers

    12. 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

    13. Published

      Do We Really Know The Benefit Of Machine Learning In Production Planning And Control? A Systematic Review Of Industry Case Studies

      Kramer, K., Rokoss, A. & 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. 223-233 11 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

    14. Published

      Using Digitalization As An Enabler For Changeability In Production Systems In A Learning Factory Environment

      Rokoss, A. & 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. 730-739 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