Improving Production System Flexibility and Changeability Through Software-Defined Manufacturing
Behrendt, S.; Ungen, M.; Fisel, J.; Hung, K.-C.; May, M.-C.; Leberle, U.; Lanza, G.
2023. A. B. T. M. H.-C. Liewald Mathiasand Verl (Ed.), Production at the Leading Edge of Technology – Proceedings of the 12th Congress of the German Academic Association for Production Technology (WGP), University of Stuttgart, October 2022. Ed.: M. Liewald, 705–716, Springer International Publishing. doi:10.1007/978-3-031-18318-8_70

A New Approach to Consider Influencing Factors in the Design of Global Production Networks
Martin, M.; Peukert, S.; Lanza, G.
2023. Production at the Leading Edge of Technology. Hrsg.: M. Liewald, 623–632, Springer Nature Switzerland AG. doi:10.1007/978-3-031-18318-8_62

Analyzing the error of Computed Tomography-based pore detection by using microscope images of matched cross-sections
Schild, L.; Weiser, L.; Höger, K.; Lanza, G.
2023. Precision Engineering, 81, 192–206. doi:10.1016/j.precisioneng.2023.01.013

Fostering robustness in production networks in an increasingly disruption-prone world
Peukert, S.; Hörger, M.; Lanza, G.
2023. CIRP Journal of Manufacturing Science and Technology, 41, 413–429. doi:10.1016/j.cirpj.2023.01.002

Simulation uncertainty determination of single flank rolling tests using monte carlo simulation and skin model shapes for zero defect manufacturing of micro gears
Gauder, D.; Bott, A.; Gölz, J.; Lanza, G.
2023. Computers in Industry, 146, Art.-Nr.: 103854. doi:10.1016/j.compind.2023.103854

Case-based reasoning user support for industrial x-ray computed tomography
Schild, L.; Höger, K.; Zanini, F.; Lanza, G.; Carmignato, S.
2023. Measurement Science and Technology, 34 (4), Article no: 045403. doi:10.1088/1361-6501/acacba

Laser surface hardening: A simulative study of tempering mechanisms on hardness and residual stress
Schüßler, P.; Damon, J.; Mühl, F.; Dietrich, S.; Schulze, V.
2023. Computational Materials Science, 221, Art.-Nr.: 112079. doi:10.1016/j.commatsci.2023.112079

Intelligente Anomalieerkennung für hochflexible Produktionsmaschinen : Prozessüberwachung in der Brownfield Produktion. PhD dissertation
Netzer, M.
2023, March 13. Shaker Verlag. doi:10.5445/IR/1000156837

Performance parameters for evaluating pore detection ability of computed tomography systems
Höger, K.; Schild, L.; Weiser, L.; Lanza, G.
2023. 12th International Conference on Industrial Computed Tomography, Fürth, Germany (iCT 2023)

Enhancing the prediction quality of mechanical properties for powder bed fusion with laser beam by dynamic observation of flying particles
Nagato, K.; Ozawa, T.; Neuenfeldt, M.; Zanger, F.; Zhao, M.; Schulze, V.
2023. Materials and Design, 227, Art.-Nr.: 111696. doi:10.1016/j.matdes.2023.111696