Recycling of solid oxide electrolyzer stacks
Kaiser, C.; Ahn, S.; Brünner, M.; Goes, D.; Lastam, J.; Mongoljiibuu, S.-O.; Sarner, S.; Specht, A.; Fleischer, J.; Menzler, N. H.; Müller, M.; Rudolph, M.; Friedrich, B.; Guillon, O.; Schwaiger, R.; Peuker, U. A.
2025. Sustainable Materials and Technologies, 45, e01435. doi:10.1016/j.susmat.2025.e01435

Application of dynamic pricing for variant production using reinforcement learning
Stamer, F.; Henzi, M.; Lanza, G.
2025. CIRP Journal of Manufacturing Science and Technology, 60, 248 – 259. doi:10.1016/j.cirpj.2025.05.004

Condition-aware capacity planning for agile hybrid disassembly systems in remanufacturing
Wurster, M.; Feuerstein, T.; Bail, F.; May, M. C.; Wang, L.; Lanza, G.
2025. CIRP Journal of Manufacturing Science and Technology, 60, 234 – 247. doi:10.1016/j.cirpj.2025.04.008

Reduktion der Längsfaltenbildung während des Kalandrierens von Batterieelektroden. PhD dissertation
Wurba, A.-K.
2025, August 7. Shaker Verlag. doi:10.5445/IR/1000183261

Project selection and scheduling with multiplicative enhancement effects and delay risk: An application in intelligent manufacturing technologies
Liu, X.; Liang, J.; Zhang, Z.- hai; Yang, S.; Peukert, S.; Lanza, G.
2025. IISE Transactions, 57 (8), 873–889. doi:10.1080/24725854.2024.2374090

Identifying simple shear in plane stress states
Schuster, L.; Münstermann, S.
2025. International Journal of Fracture, 249, Art.-Nr.: 43. doi:10.1007/s10704-025-00856-0

PyBullet Industrial Path Planner: Handling Transitional Movements in Constrained Robot Cell Environments
Schulz, P.; Hansjosten, M.; Puchta, A.; Fleischer, J.
2025. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000183537

From Toy Problems to Industrial Reality: The wbk Assembly Benchmark
Baumgärtner, J.; Kreft, L.; Puchta, A.; Fleischer, J.
2025, July 3. doi:10.35097/3c5yh8z8asafagby

Effizientes Kalandrieren von Batterieelektroden/Efficient calendering of battery electrodes
Kößler, F.; Fleischer, J.; Diener, A.; Willuhn, C.; Kwade, A.; Mayr, A.
2025. wt Werkstattstechnik online, 115 (05), 326–333. doi:10.37544/1436-4980-2025-05-16

A Multimodal Dataset for Process Monitoring and Anomaly Detection in Industrial CNC Milling
Ströbel, R.; Kuck, M.; Oexle, F.; Kader, H.
2025, July 1. doi:10.35097/hvvwn1kfwf7qt48z