Marco Wurster, M.Sc.
Area of Research:
- Machine Learning for production planning and control
- Scalable automation of agile production systems
- Remanufacturing at factory level
- Factory planning
- Coordination of lecture "Integrated production planning in the age of Industry 4.0" (IPP)
- Assembly planning: concept and detailed planning
- Coordinator Learning Factory Module Scalable Automation
- Representative in the IHK Karlsruhe "Arbeitskreis Industrie 4.0"
|sincet 10/2019||Research Associate at the Institute of Production Science (wbk) at Karlsruhe Institute of Technology (KIT)|
|10/2012-06/2019||Study of Mechanical Engineering at Karlsruhe Institute of Technology (KIT)|
|09/04/1993||Born in Breisach am Rhein|
|[ 1 ]|| May, M. C.; Overbeck, L.; Wurster, M.; Kuhnle, A. & Lanza, G. (2020), "Foresighted Digital Twin for situational Agent Selection in Production Control".
|[ 2 ]|| Wurster, M.; Häfner, B.; Gauder, D.; Stricker, N. & Lanza, G. (2021), "Fluid Automation - A Definition and an Application in Remanufacturing Production Systems". Digitalizing smart factories, Elsevier, pp. 508-513.
Production systems must be able to quickly adapt to changing requirements. Especially in the field of remanufacturing, the uncertainty in the state of the incoming products is very high. Several adaptation mechanisms can be applied leading to agile and changeable production systems. Among these, adapting the degree of automation with respect to changeover times and high investment costs is one of the most challenging mechanisms. However, not only long-term changes, but also short-term adaptations can lead to enormous potentials, e.g. when night shifts can be supported by robots and thus higher labor costs and unfavorable working conditions at night can be avoided. These changes in the degree of automation on an operational level are referred to as fluid automation, which will be defined in this paper. The mechanisms of fluid automation are presented together with a case study showing its application on a disassembly station for electrical drives.