prof.Dr.-Ing. S. Thiede (Sebastian)

Full Professor, Chair of Manufacturing Systems

Over mij

I´m interested in the planning and operation of manufacturing systems/factories. This includes the interaction of different processes over the process chain but also with other factory elements like technical building services. Besides technological developments, digital methods and tools play an important role. Thereby, obviously the technical and economic performance but also environmental and social perspectives need to be taken into account:

  • Smart manufacturing solutions based on Cyber Physical Production System (CPPS) framework (e.g. data acquisition strategies, machine learning and factory simulation, decision support and control)
  • Methods for factory planning and operation (e.g. layout planning, planning and control, quality management, lean management)
  • Innovative manufacturing systems/factory concepts (e.g. flexible production systems, scale up scenarios)
  • Sustainable manufacturing (e.g. energy and resource efficiency)
  • Human factors in manufacturing systems (e.g. occupational health and safety, ergonomics, workplace design)

Application areas range from mechanical/mechatronic products in general, batteries (see also https://www.utwente.nl/tcabt), surface technologies but also food industry. 

A more extensive overview can be found here: https://www.utwente.nl/en/research/researchers/featured-scientists/thiede/ 

I´m also the chairman for the department Design, Production and Management in the Engineering Technology faculty, https://www.utwente.nl/en/et/dpm/ 


Engineering & Materials Science
Energy Efficiency
Environmental Impact
Industrial Plants
Life Cycle
Lithium-Ion Batteries
Sustainable Development


Flick, D., Vruna, M., Bartos, M., Ji, L., Herrmann, C. , & Thiede, S. (2023). Machine learning based internal and external energy assessment of automotive factories. CIRP annals : manufacturing technology, 72(1), 21-24. Advance online publication. https://doi.org/10.1016/j.cirp.2023.04.038
Zietsch, J., Kulaga, R., Held, H., Herrmann, C. , & Thiede, S. (2023). Multi-layer edge resource placement optimization for factories. Journal of Intelligent Manufacturing. Advance online publication. https://doi.org/10.1007/s10845-022-02071-3
Bienia, S., Demes, M., Dreger, J., Dröder, K. , & Thiede, S. (2022). Functional analysis of an Optical Real Time Locating System in production environments. Procedia CIRP, 107, 1107-1111. Advance online publication. https://doi.org/10.1016/j.procir.2022.05.116
Sullivan, B. P., Yazdi, P. G., Suresh, A. , & Thiede, S. (2022). Digital Value Stream Mapping: Application of UWB Real Time Location Systems. Procedia CIRP, 107, 1186-1191. Advance online publication. https://doi.org/10.1016/j.procir.2022.05.129
Thiede, S. (2022). Cyber Physical Production Systems and Their Role for Decarbonization of Industry. In O. Inderwildi, & M. Kraft (Eds.), Intelligent Decarbonisation: Can Artificial Intelligence and Cyber-Physical Systems Help Achieve Climate Mitigation Targets? (pp. 75-86). ( Lecture Notes in Energy (LNE); Vol. 86). Springer. Advance online publication. https://doi.org/10.1007/978-3-030-86215-2_8

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Universiteit Twente
Faculty of Engineering Technology
Horst - Ring (gebouwnr. 21)
De Horst 2
7522LW  Enschede

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Universiteit Twente
Faculty of Engineering Technology
Horst - Ring
Postbus 217
7500 AE Enschede