Projects per year
Personal profile
Curriculum
Since 12/2023: Research Associate for Machine Learning in the research group Production Management at the Institute of Production Technology and Systems at Leuphana University of Lüneburg
10/2021 - 11/2023: Master's studies in Industrial Engineering (profile: Production Engineering) at the Leuphana University of Lüneburg
10/2017 - 01/2021: Bachelor's studies in Industrial Engineering (profile: Production Engineering) at the Leuphana University of Lüneburg
08/2014 - 11/2023: Apprenticeship as an Industrial Clerk (08/2014 - 07/2017), Technical Sales (07/2017 - 10/2021) and Process Optimization (10/2021 - 11/2023) at a medium-sized production company
Education/Academic qualification
Management & Engineering, Master, Context-aware sales forecasting of customised holding fixtures with internal and external indicators using machine learning, Leuphana Universität Lüneburg
01.10.2021 → 27.11.2023
Award Date: 27.11.2023
Engineering, Bachelor, Identification of potentials for the application of machine learning methods in production planning and control, Leuphana Universität Lüneburg
01.10.2017 → 14.01.2021
Award Date: 14.01.2021
Keywords
- Engineering
- Machine Learning
- Data Analysis
- Production Management
- Process Optimization
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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 → 30.06.26
Project: Research
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Quantification of central input factors for the determination of planning lead times in shop floor production
Schmidt, M. (Project manager, academic) & Wolter, F. (Project staff)
01.12.23 → 31.05.25
Project: Research
Research output
- 4 Article in conference proceedings
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Forecast-Based Assessment of Investment Requirements for Circular Business Models in Industrial Production
Philipp, L., Fischer, M., Wolter, F., Metternich, J., Stamer, F. & Schmidt, M., 2026, (Accepted/In press) Production at the Leading Edge of Technology - Proceedings of the 15th Congress of the German Academic Association for Production Technology (WGP). SpringerResearch 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., 2026, (Accepted/In press) Production at the Leading Edge of Technology - Proceedings of the 15th Congress of the German Academic Association for Production Technology (WGP). SpringerResearch output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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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