Alexander Rokoss

  1. 2025
  2. Published

    Understanding Resulting Interdependencies Within Production Planning And Control In Hybrid Manufacturing/Remanufacturing Systems

    Schulz, J., Hofmann, H., Rokoss, A. & Schmidt, M., 05.2025, Proceedings of the Conference on Production Systems and Logistics: CPSL 2025: 18th – 21th March 2025, University of San Ignacio de Loyola Lima, Peru. Herberger, D. & Hübner, M. (eds.). Offenburg: publish-Ing., p. 114 - 126 13 p. (Proceedings of the ... Conference on Production Systems and Logistics; vol. 7).

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  3. 2024
  4. 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 contributionsJournal articlesResearchpeer-review

  5. Published

    The Influence Of Product Reuse On Production Planning and Control

    Schulz, J., Rokoss, A. & Schmidt, M., 01.01.2024, In: Procedia CIRP. 130, p. 1543-1548 6 p.

    Research output: Journal contributionsConference article in journalResearchpeer-review

  6. 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/worksArticle in conference proceedingsResearchpeer-review

  7. Published

    Lieferzeitbestimmung in der auftragsbezogenen Werkstattfertigung mittels maschinellen Lernens

    Rokoss, A., 2024, 1 ed. Lüneburg: Sierke Verlag. 242 p. (Schriftenreihe Produktionstechnik und -systeme; vol. 23)

    Research output: Books and anthologiesMonographsResearchpeer-review

  8. 2023
  9. 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 contributionsJournal articlesResearchpeer-review

  10. 2022
  11. 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/worksArticle in conference proceedingsResearchpeer-review

  12. 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/worksArticle in conference proceedingsResearchpeer-review

  13. 2021
  14. Published
  15. 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/worksContributions to collected editions/anthologiesResearchpeer-review

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