Dr.-Ing. Alexander Rokoss

1. ML-basierte Absatzprognose anhand von in- und externen Metadaten
   Jens Heger (Project manager, academic) , Alexander Rokoss (Project staff) , Ferenc Laslo Wolter (Project staff)
   7/1/24 → 6/30/26

   Project: Research

2. AI-Workshop | Arificial intelligence in production companies
   Matthias Schmidt (Project manager, academic) , Alexander Rokoss (Project staff) , Thorben Green (Project staff)
   1/1/21 → 9/30/22

   Project: Transfer (R&D project)

3. Auslegung der Materialbereitstellung der Laserproduktionslinie eines Unternehmens der maritimen Wirtschaft
   Matthias Schmidt (Project manager, academic) , Alexander Rokoss (Project staff)
   11/1/20 → 12/31/21

   Project: Transfer (R&D project)

4. Detailed planning and workplace design of a laser production line at a company from the maritime industry
   Matthias Schmidt (Project manager, academic) , Alexander Rokoss (Project staff)
   5/1/20 → 12/31/21

   Project: Transfer (R&D project)

5. Detailed planning and workplace design of an assembly line in a maritime company
   Matthias Schmidt (Project manager, academic) , Alexander Rokoss (Project staff)
   3/1/20 → 3/31/21

   Project: Transfer (R&D project)

Books and anthologies

1. Lieferzeitbestimmung in der auftragsbezogenen Werkstattfertigung mittels maschinellen Lernens
   Alexander Rokoss (Author) , 2024 1 ed. Lüneburg , 242 p.

   Research output: Books and anthologies › Monographs › Research › peer-review

Journal contributions

1. Case study on delivery time determination using a machine learning approach in small batch production companies
   Alexander Rokoss (Author) , Matthias Schmidt (Author) , Marius Syberg (Author) , Laura Tomidei (Author) , Christian Hülsing (Author) , Jochen Deuse (Author) , 01.12.2024 , in: Journal of Intelligent Manufacturing, 35, 8 , p. 3937-3958 , 22 p.

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

2. The Influence Of Product Reuse On Production Planning and Control
   Jonah Christopher Schulz (Author) , Alexander Rokoss (Author) , Matthias Schmidt (Author) , 01.01.2024 , in: Procedia CIRP, 130 , p. 1543-1548 , 6 p.

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

3. KI-Kanban-Behälter: Mobile, dezentrale Logistikdatenerfassung mittels Edge-ML
   Alexander Rokoss (Author) , Kathrin Julia Kramer (Author) , Thorben Green (Author) , Matthias Schmidt (Author) , Lennart Popkes (Author) , 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

Contributions to collected editions/anthologies

1. Field-Based Assessment of Key Influence Factors for Throughput Time Prediction in Job Shop Manufacturing
   Jonas Reinhold (Author) , Alexander Rokoss (Author) , Matthias Schmidt (Author) , 01.01.2026 Cham , p. 201-215 , 15 p.

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

2. Understanding Resulting Interdependencies Within Production Planning And Control In Hybrid Manufacturing/Remanufacturing Systems
   Jonah Christopher Schulz (Author) , Alexander Rokoss (Author) , Matthias Schmidt (Author) , Helga Hofmann (Author) , 01.05.2025 Offenburg , p. 114 - 126 , 13 p.

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

3. Machine Learning For Determining Planned Order Lead Times In Job Shop Production: A Systematic Review Of Input Factors And Applied Methods
   Ferenc Laslo Wolter (Author) , Alexander Rokoss (Author) , Matthias Schmidt (Author) , 01.01.2025 Offenburg , p. 374-384 , 11 p.

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

4. 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
   Alexander Rokoss (Author) , Matthias Schmidt (Author) , Lennart Popkes (Author) , 01.01.2024 Hannover , p. 415-431 , 17 p.

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

5. A Systematic Literature Review Of Machine Learning Approaches For The Prediction Of Delivery Dates
   Janine Tatjana Maier (Author) , Alexander Rokoss (Author) , Thorben Green (Author) , Matthias Schmidt (Author) , Nikola Brkovic (Author) , 01.01.2022 Hannover , p. 121-130 , 10 p.

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