Alexander Rokoss

  1. 2024
  2. Erschienen

    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, S. 3937-3958 22 S.

    Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

  3. 2025
  4. Erschienen

    Machine Learning For Determining Planned Order Lead Times In Job Shop Production: A Systematic Review Of Input Factors And Applied Methods

    Wolter, F., Rokoss, A. & Schmidt, M., 2025, Conference on Production Systems and Logistics: University of San Ignacio de Loyola Lima, Peru, 18th – 21th March 2025, Proceedings. Herberger, D. & Hübner, M. (Hrsg.). Offenburg: publish-Ing., S. 374-384 11 S. 32. (Proceedings of the ... Conference on Production Systems and Logistics; Nr. 7).

    Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

  5. Erschienen

    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. (Hrsg.). Offenburg: publish-Ing., S. 114 - 126 13 S. (Proceedings of the ... Conference on Production Systems and Logistics; Band 7).

    Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

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