
Dr.-Ing. Constantin Hofmann
- Research Associate
- Production Systems
- office hours: To be agreed
- room: 111, Geb. 50.36
- phone: +49 1523 9502583
- Constantin Hofmann ∂does-not-exist.kit edu
76131 Karlsruhe
Kaiserstraße 12
Dr.-Ing. Constantin Hofmann
Area of Research:
- Coordination of the learning factory global production
- Digitization in production planning, cloud computing and web technology in production
- Production control of flexible production systems
- Shopfloor Management
- MES systems
General Tasks:
- Coordination of lecture…
- MBA Hector Production Engineering
- Workshop coach Lean and Industry 4.0
- Coordination learning factory global production
Projects:
- Innovation Center SAP – Development of an AI-based multi-agent production control for matrix production
- Innovation Center SAP – Efficiency improvement of a MO-MCTS-based multi-objective optimizer for scheduling of a matrix production
- AiF ShopfloorPulse
Test benches:
Dissertation: Development of an AI-based multi-agent production control for matrix production
Curriculum Vitae:
05/07/1989 | Born in Frankfurt am Main |
10/2010-04/2014 | Industrial Engineering (B.Sc.) at KIT focusing on information technology and production science |
09/2012-06/2013 | Génie industriel at INSA Lyon |
04/2014-12/2016 | Industrial Engineering (M.Sc.) at KIT |
since 03/2017 | Research Associate at Institute of Production Science (wbk) at Karlsruher Institute of Technology (KIT) |
Publications
Wandlungsfähige Produktion für die Kreislaufwirtschaft
Beyerer, J.; Bretthauer, G.; Hofmann, C.; Lanza, G.
2022. at - Automatisierungstechnik, 70 (6), 501–503. doi:10.1515/auto-2022-0063
Beyerer, J.; Bretthauer, G.; Hofmann, C.; Lanza, G.
2022. at - Automatisierungstechnik, 70 (6), 501–503. doi:10.1515/auto-2022-0063
Agiles Produktionssystem mittels lernender Roboter bei ungewissen Produktzuständen am Beispiel der Anlasser-Demontage = Concept of an agile production system based on learning robots applied to disassembly
Lanza, G.; Asfour, T.; Beyerer, J.; Deml, B.; Fleischer, J.; Heizmann, M.; Furmans, K.; Hofmann, C.; Cebulla, A.; Dreher, C.; Kaiser, J.-P.; Klein, J.-F.; Leven, F.; Mangold, S.; Mitschke, N.; Stricker, N.; Pfrommer, J.; Wu, C.; Wurster, M.; Zaremski, M.
2022. at - Automatisierungstechnik, 70 (6), 504–516. doi:10.1515/auto-2021-0158
Lanza, G.; Asfour, T.; Beyerer, J.; Deml, B.; Fleischer, J.; Heizmann, M.; Furmans, K.; Hofmann, C.; Cebulla, A.; Dreher, C.; Kaiser, J.-P.; Klein, J.-F.; Leven, F.; Mangold, S.; Mitschke, N.; Stricker, N.; Pfrommer, J.; Wu, C.; Wurster, M.; Zaremski, M.
2022. at - Automatisierungstechnik, 70 (6), 504–516. doi:10.1515/auto-2021-0158
Automatisierung und Einsatz von Robotern im Pathologielabor = Automation and application of robotics in the pathology laboratory
Herbst, H.; Rüdiger, T.; Hofmann, C.
2022. Der Pathologe, 43 (3), 210–217. doi:10.1007/s00292-022-01073-5
Herbst, H.; Rüdiger, T.; Hofmann, C.
2022. Der Pathologe, 43 (3), 210–217. doi:10.1007/s00292-022-01073-5
Hybrid Monte Carlo tree search based multi-objective scheduling
Hofmann, C.; Liu, X.; May, M.; Lanza, G.
2022. Production Engineering, 17, 133–144. doi:10.1007/s11740-022-01152-9
Hofmann, C.; Liu, X.; May, M.; Lanza, G.
2022. Production Engineering, 17, 133–144. doi:10.1007/s11740-022-01152-9
Self-adjusting multi-objective scheduling based on Monte Carlo Tree Search for matrix production assembly systems
Stricker, N.; Kuhnle, A.; Hofmann, C.; Deininger, P.
2021. CIRP Annals, 70 (1), 381–384. doi:10.1016/j.cirp.2021.04.036
Stricker, N.; Kuhnle, A.; Hofmann, C.; Deininger, P.
2021. CIRP Annals, 70 (1), 381–384. doi:10.1016/j.cirp.2021.04.036
Autonomeous production control for matrix production based on deep Q-learning
Hofmann, C.; Krahe, C.; Stricker, N.; Lanza, G.
2020. Procedia CIRP, 88, 25–30. doi:10.1016/j.procir.2020.05.005
Hofmann, C.; Krahe, C.; Stricker, N.; Lanza, G.
2020. Procedia CIRP, 88, 25–30. doi:10.1016/j.procir.2020.05.005
A Data-Driven Approach for Quality Analytics of Screwing Processes in a Global Learning Factory
Yang, S.; Liu, H.; Zhang, Y.; Arndt, T.; Hofmann, C.; Häfner, B.; Lanza, G.
2020. Procedia manufacturing, 45, 454–459. doi:10.1016/j.promfg.2020.04.052
Yang, S.; Liu, H.; Zhang, Y.; Arndt, T.; Hofmann, C.; Häfner, B.; Lanza, G.
2020. Procedia manufacturing, 45, 454–459. doi:10.1016/j.promfg.2020.04.052
Machine learning based activity recognition to identify wasteful activities in production
Hofmann, C.; Patschkowski, C.; Häfner, B.; Lanza, G.
2020. Procedia manufacturing, 45, 171–176. doi:10.1016/j.promfg.2020.04.090
Hofmann, C.; Patschkowski, C.; Häfner, B.; Lanza, G.
2020. Procedia manufacturing, 45, 171–176. doi:10.1016/j.promfg.2020.04.090
Augmented Go & See: An approach for improved bottleneck identification in production lines
Hofmann, C.; Staehr, T.; Cohen, S.; Stricker, N.; Haefner, B.; Lanza, G.
2019. 9th Conference on Learning Factories, CLF 2019; Braunschweig; Germany; 26 March 2019 through 28 March 2019. Ed.: C. Herrmann, 148–154, Elsevier. doi:10.1016/j.promfg.2019.03.023
Hofmann, C.; Staehr, T.; Cohen, S.; Stricker, N.; Haefner, B.; Lanza, G.
2019. 9th Conference on Learning Factories, CLF 2019; Braunschweig; Germany; 26 March 2019 through 28 March 2019. Ed.: C. Herrmann, 148–154, Elsevier. doi:10.1016/j.promfg.2019.03.023
Development of an agile development method based on Kanban for distributed part-time teams and an introduction framework
Hofmann, C.; Lauber, S.; Haefner, B.; Lanza, G.
2018. (D. Mourtzis & G. Chryssolouris, Eds.) Advanced Engineering Education & Training for Manufacturing Innovation Hrsg.: Mourtzis, Dimitris; Chryssolouris, George, 23, 45–50. doi:10.1016/j.promfg.2018.03.159
Hofmann, C.; Lauber, S.; Haefner, B.; Lanza, G.
2018. (D. Mourtzis & G. Chryssolouris, Eds.) Advanced Engineering Education & Training for Manufacturing Innovation Hrsg.: Mourtzis, Dimitris; Chryssolouris, George, 23, 45–50. doi:10.1016/j.promfg.2018.03.159
The Impact of Routing and Operation Flexibility on the Performance of Matrix Production Compared to a Production Line
Hofmann, C.; Brakemeier, N.; Krahe, C.; Stricker, N.; Lanza, G.
2018. R. Schmitt & G. Schuh (Eds.), Advances in Production Research Hrsg.: Schmitt, Robert; Schuh, Günther, 155–165, Springer International Publishing. doi:10.1007/978-3-030-03451-1_16
Hofmann, C.; Brakemeier, N.; Krahe, C.; Stricker, N.; Lanza, G.
2018. R. Schmitt & G. Schuh (Eds.), Advances in Production Research Hrsg.: Schmitt, Robert; Schuh, Günther, 155–165, Springer International Publishing. doi:10.1007/978-3-030-03451-1_16
Auf dem Weg zum Digitalen Shopfloor Management: Eine Studie zum Stand der Echtzeitentscheidungsfähigkeit und des Industrie 4.0-Reifegrads
Lanza, G.; Hofmann, C.; Stricker, N.; Biehl, E.; Braun, Y.
2018. Karlsruher Institut für Technologie (KIT)
Lanza, G.; Hofmann, C.; Stricker, N.; Biehl, E.; Braun, Y.
2018. Karlsruher Institut für Technologie (KIT)