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Edgar Mühlbeier, M.Sc.
- Akad. Mitarbeiter
- Bereich: Maschinen, Anlagen und Prozessautomatisierung
- Sprechstunden: nach Vereinbarung
- Raum: 009, Geb. 50.36
- Tel.: +49 1523 9502587
- edgar muehlbeierThe6∂kit edu
76131 Karlsruhe
Kaiserstraße 12
Edgar Mühlbeier, M.Sc.
Forschungs- und Arbeitsgebiete:
- Themenbereich Industrie 4.0
- Robotik
- Vorlesungsbetreuer der Vorlesung Steuerungstechnik
Projekte:
- Wertstromkinematik – Produktionssysteme aus innovativen roboterähnlichen Kinematiken
- Industrie 4.0 Nachrüstkit für spanende Bestandswerkzeugmaschinen
Lebenslauf:
seit 07/2019 | Wissenschaftlicher Mitarbeiter am Institut für Produktionstechnik (wbk) des Karlsruher Instituts für Technologie (KIT) |
04/2016 - 04/2019 | Studium des Maschinenbaus am Karlsruher Institut für Technologie (KIT) |
10/2012 - 02/2016 | Studium des Maschinenbaus an der Hochschule Esslingen |
Veröffentlichungen
[ 1 ] | Mühlbeier, E.; Gönnheimer, P.; Hausmann, L. & Fleischer, J. (2020), Value Stream Kinematics. Production at the leading edge of technology, Hrsg. Behrens, B.; Brosius, A.; Hintze, W.; Ihlenfeldt, S. & Wulfsberg, J. P., Springer, Berlin, Heidelberg, S. 409-418.
Abstract
The trend towards individualized products and the increasing demand for a greater variety of variants create new challenges for existing production environments and require a re-thinking of production. Established manufacturing systems that provide the desired flexibility are associated with significant productivity restrictions and are therefore unable to compete economically with production from rigid production lines. They are therefore often limited to serving niche markets. Consequently, an approach is needed that combines high productivity with high flexibility. For this purpose, this paper presents a new approach to manufacturing with an equally high productivity and flexibility, so-called value stream kinematics. The basic idea of value stream kinematics is to combine the advantages of specialized machines with the versatility of industrial robots. The vision behind this is to be able to realize entire value streams with uniform robot-like kinematics and no need for special machines.
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