Projects per year
Personal profile
Curriculum
seit 2018 wissenschaftlicher Mitarbeiter am Institut für Produktionstechnik und -systeme
2012 bis 2018 Studium Wirtschaftsingenieurswesen an der Leuphana Universität Lüneburg
Keywords
- Engineering
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 8 Decent Work and Economic Growth -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 12 Responsible Consumption and Production
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Dive into the research topics where Alexander Rokoss is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Research collaborations from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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MLab: ML-basierte Absatzprognose anhand von in- und externen Metadaten
Heger, J. (Project manager, academic), Rokoss, A. (Project staff) & Wolter, F. (Project staff)
01.07.24 → 30.11.26
Project: Research
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KI-We: AI-Workshop | Arificial intelligence in production companies
Schmidt, M. (Project manager, academic), Rokoss, A. (Project staff) & Green, T. (Project staff)
01.01.21 → 30.09.22
Project: Transfer (R&D project)
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Auslegung der Materialbereitstellung der Laserproduktionslinie eines Unternehmens der maritimen Wirtschaft
Schmidt, M. (Project manager, academic) & Rokoss, A. (Project staff)
01.11.20 → 31.12.21
Project: Transfer (R&D project)
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Detailed planning and workplace design of a laser production line at a company from the maritime industry
Schmidt, M. (Project manager, academic) & Rokoss, A. (Project staff)
01.05.20 → 31.12.21
Project: Transfer (R&D project)
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Detailed planning and workplace design of an assembly line in a maritime company
Schmidt, M. (Project manager, academic) & Rokoss, A. (Project staff)
01.03.20 → 31.03.21
Project: Transfer (R&D project)
Research output
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Enhancing Production Planning and Control by Integrating the Circular Strategy ‘Repair’
Schulz, J., Runte, J., Krämer, R., Rokoss, A. & Schmidt, M., 10.05.2026, Safe and Sustainable Value Creation by Design: Proceedings of the 21st Global Conference on Sustainable Manufacturing (GCSM 2025) September 10–12, 2025, Bologna, Italy, Volume 2. Kohl, H., Seliger, G., Dietrich, F. & Campana, G. (eds.). Springer, p. 95-103 9 p. (Lecture Notes in Mechanical Engineering).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
Open Access -
Field-Based Assessment of Key Influence Factors for Throughput Time Prediction in Job Shop Manufacturing
Reinhold, J., Rokoss, A. & Schmidt, M., 2026, Advances in Production Management Systems : Cyber-Physical-Human Production Systems: Human-AI Collaboration and Beyond; 44th IFIP WG 5.7 International Conference, APMS 2025, Proceedings; Kamakura, Japan, August 31 – September 4, 2025 Proceedings, Part VI. Mizuyama, H., Morinaga, E., Nonaka, T., Kaihara, T., von Cieminski, G. & Romero, D. (eds.). Cham: Springer Science and Business Media Deutschland, Vol. 6. p. 201-215 15 p. (IFIP Advances in Information and Communication Technology; vol. 769 IFIPAICT).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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Machine Learning for Sales Forecasting in Industrial Environments: A Systematic Literature Review of Input Factors and Applied Methods
Wolter, F., Prieß, J., Rösler, V., Rokoss, A. & Stamer, F., 07.2026, Production at the Leading Edge of Technology: Proceedings of the 15th Congress of the German Academic Association for Production Technology (WGP). Overmeyer, L. & Behrens, B.-Ả. (eds.). Cham: Springer, p. 445-454 10 p.Research output: Contributions to collected editions/works › Article in conference proceedings › Research
Open Access -
Quantification Of Input Factors For Determining Planned Order Lead Times In Job Shop Production Using Machine Learning: A Case Study
Wolter, F., Jaenecke, P., Rokoss, A. & Schmidt, M., 2026, (Accepted/In press) Intelligent Computation in Manufacturing Engineering: Proceedings of the CIRP ICME 2025. (Procedia CIRP).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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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. (eds.). Offenburg: publish-Ing., p. 374-384 11 p. 32. (Proceedings of the ... Conference on Production Systems and Logistics; no. 7).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
Open Access