Blockchain-based secure and transparent data storage on process level for traceability and data integrity in the continuous mixing process in battery cell manufacturing
Otte, S.; Reuscher, L.; Schabel, S.; Fleischer, J.
2026. Cogent Engineering, 13 (1), Art.-Nr.: 2712034. doi:10.1080/23311916.2026.2712034

Fleet planning for environmentally conscious instant delivery
Sporing, N.; Girke, R.; Ramos, T.; Jorge, D.
2026. International Journal of Systems Science: Operations and Logistics, 13 (1). doi:10.1080/23302674.2026.2671383

Unified Embodiment Description for functional evaluation of used components in circular manufacturing systems
Hemmerich, J.; Koch, D.; Mas, V.; Afifi, N.; Blum, E.; Lanza, G.; Matthiesen, S.; Grauberger, P.
2026. Journal of Manufacturing Systems, 89, 197–214. doi:10.1016/j.jmsy.2026.08.010

Residual‑Based Monitoring with Incremental Model Update for CNC Milling Processes
Ströbel, R.; Deucker, S.; Raimann, M.; Kader, H.
2026. doi:10.5445/IR/1000197990

Entwicklung eines Verweilzeitmodells für die Traceability im kontinuierlichen Mischprozess in der Batteriezellproduktion. Dissertation
Otte, S. S.
2026, Oktober 12. Shaker Verlag

LLM-Based Pre-Press Decision Support for an Industrial Composite-Forming Workflow
Li, Y.; Bott, A.; Fleischer, J.; Käfer, T.
2026. 2026 IEEE 22nd International Conference on Automation Science and Engineering (CASE), Shenyang, China, 17-21 August 2026, 1928–1934, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CASE69030.2026.11704251

Microstructure-Based Finite-Element Prediction of Surface lntegrity with Bayesian-lnformed Wear States: Application to Longitudinal Turning of AISI 4140. Dissertation
González Fernández, G.
2026, Oktober 6. Shaker Verlag. doi:10.5445/IR/1000197619

Optimizing Learning Pathways for Digital Twin Education in Manufacturing Systems
Rechkemmer, D.; Korth, M.; Behrendt, S.; May, M. C.; Benfer, M.; Lanza, G.
2026. Advancing Learning Factories: Enabling Future-Ready Skills – Proceedings of the 15th Conference on Learning Factories 2025, Volume 1. Ed.: L. Louw, I. de Kock, K. von Leipzig, 62–69, Springer Nature Switzerland. doi:10.1007/978-3-031-98880-6_8

Towards data-driven reprocessing: Multisensory process observation and hardness modeling in high-speed directed energy deposition
Wexel, H.; Khabou, M.; Schulze, V.; Dietrich, S.; Zanger, F.
2026. Journal of Manufacturing Systems, 88 (1), 887–902. doi:10.1016/j.jmsy.2026.07.012

Modeling process-microstructure relations in PBF-LB/M laser treatment using Gaussian process surrogates, Bayesian optimization and eddy current sensing
Groenewold, J.; Mai, D.; Stamer, F.; Lanza, G.
2026. CIRP Journal of Manufacturing Science and Technology, 69, 158–168. doi:10.1016/j.cirpj.2026.05.005