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Faculty of mechanical engineering
Research assistant

Marius Syberg, M.Sc.

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+49 231 755-5179

TU Dort­mund 
Joseph von Fraunhofer Str. 20  
D-44227 Dort­mund 



Marius Syberg, M.Sc.

About the Person

Marius Syberg, M. Sc., studied industrial engineering with a specialisation in production management and industrial management at the Technical University of Dortmund. He works as a research assistant at the Institute of Production Systems at TU Dortmund University. His work focuses on the optimisation of production systems in the context of dynamic value stream analysis, the strategic introduction of Industry 4.0 and the digitalisation of manufacturing companies.


  • Networked and integrated application of industrial data analysis
  • Data-driven design of production systems under the influence of variability
  • Predictive sales and demand planning through the application of machine learning methods


  • Supervision of project and final theses
  • Execution of lectures of the IPS
  • Execution of tutorials to the lectures of the IPS


  • Planning and de­sign of production systems (e.g. value stream mapping and de­sign, buffer de­sign).
  • Production planning and control
  • Application of dynamic value stream analysis in a practical environment
  • Operational use of IoT technologies in industrial use cases

Presentations and Publications

  • Ralph Richter, Marius Syberg, Jochen Deuse, Peter Willats & David Lenze (2022) Creating lean value streams through proactive variability management, International Journal of Production Research, DOI: 10.1080/00207543.2022.2111614
  • Deuse, Jochen; West, Nikolai; Syberg, Marius (2021): The Evolution of Scientific Management: From Industrial Engineering to Industrial Data Science. In: Proceedings of the 15th International Conference on Industrial Engineering and Industrial Management and XXV Congreso de Ingeniería de Organización (ICIEIM), 8.-9.07.2021, Burgos (Spain), S. 99-101. Access via Pressbook
  • West, Nikolai; Syberg, Marius; Deuse, Jochen (2021): A Holistic Methodology for Successive Bottleneck Analysis in Dynamic Value Streams of Manufacturing Companies. In: Proceedings of the Changeable, Agile, Reconfigurable and Virtual Production Conference and the World Mass Customization & Personalization Conference (CARV MCPC), 01.-02.11.2021, Aalborg (Denmark), S. 612-619. DOI: 10.1007/978-3-030-90700-6_6
  • Richter, Ralph; Deuse, Jochen; Willats, Peter; Syberg, Marius; Lenze, David (2021): Managing Variability in Production. In: IFIP Advances in Information and Com­mu­ni­ca­tion Technology (AICT). Access via Springer