Design and management of manufacturing systems for production quality M Colledani, T Tolio, A Fischer, B Iung, G Lanza, R Schmitt, J Váncza Cirp Annals 63 (2), 773-796, 2014 | 471 | 2014 |
Global production networks: design and operation G Lanza, K Ferdows, S Kara, D Mourtzis, G Schuh, J Váncza, L Wang, ... CIRP annals 68 (2), 823-841, 2019 | 249 | 2019 |
Composite materials parts manufacturing J Fleischer, R Teti, G Lanza, P Mativenga, HC Möhring, A Caggiano CIRP Annals 67 (2), 603-626, 2018 | 248 | 2018 |
Assessment of lean and green strategies by simulation of manufacturing systems in discrete production environments N Diaz-Elsayed, A Jondral, S Greinacher, D Dornfeld, G Lanza CIRP Annals 62 (1), 475-478, 2013 | 214 | 2013 |
Challenges and potentials of digital twins and industry 4.0 in product design and production for high performance products R Wagner, B Schleich, B Haefner, A Kuhnle, S Wartzack, G Lanza Procedia CIRP 84, 88-93, 2019 | 205 | 2019 |
Designing an adaptive production control system using reinforcement learning A Kuhnle, JP Kaiser, F Theiß, N Stricker, G Lanza Journal of Intelligent Manufacturing 32, 855-876, 2021 | 160 | 2021 |
Optimization of selective assembly and adaptive manufacturing by means of cyber-physical system based matching G Lanza, B Haefner, A Kraemer CIRP annals 64 (1), 399-402, 2015 | 148 | 2015 |
Quality value stream mapping B Haefner, A Kraemer, T Stauss, G Lanza Procedia Cirp 17, 254-259, 2014 | 142 | 2014 |
The concept of robustness in production systems and its correlation to disturbances N Stricker, G Lanza Procedia CIRP 19, 87-92, 2014 | 98 | 2014 |
Produkte und Produktionssysteme integrativ konzipieren: Modellbildung und Analyse in der frühen Phase der Produktentstehung J Gausemeier, G Lanza, U Lindemann | 93 | 2012 |
Classification of specimen density in laser powder bed fusion (L-PBF) using in-process structure-borne acoustic process emissions N Eschner, L Weiser, B Häfner, G Lanza Additive Manufacturing 34, 101324, 2020 | 91 | 2020 |
Design, implementation and evaluation of reinforcement learning for an adaptive order dispatching in job shop manufacturing systems A Kuhnle, L Schäfer, N Stricker, G Lanza Procedia CIRP 81, 234-239, 2019 | 90 | 2019 |
Reinforcement learning for opportunistic maintenance optimization A Kuhnle, J Jakubik, G Lanza Production Engineering 13, 33-41, 2019 | 89 | 2019 |
Staff scheduling in job rotation environments considering ergonomic aspects and preservation of qualifications J Hochdörffer, M Hedler, G Lanza Journal of manufacturing systems 46, 103-114, 2018 | 87 | 2018 |
Decision support for the implementation of Industry 4.0 methods: Toolbox, Assessment and Implementation Sequences for Industry 4.0 C Liebrecht, M Kandler, M Lang, S Schaumann, N Stricker, T Wuest, ... Journal of Manufacturing Systems 58, 412-430, 2021 | 84 | 2021 |
Reinforcement learning for an intelligent and autonomous production control of complex job-shops under time constraints T Altenmüller, T Stüker, B Waschneck, A Kuhnle, G Lanza Production Engineering 14, 319-328, 2020 | 84 | 2020 |
Criticality analysis of spare parts management: a multi-criteria classification regarding a cross-plant central warehouse strategy J Stoll, R Kopf, J Schneider, G Lanza Production Engineering 9, 225-235, 2015 | 81 | 2015 |
Optimization of preventive maintenance and spare part provision for machine tools based on variable operational conditions G Lanza, S Niggeschmidt, P Werner CIRP annals 58 (1), 429-432, 2009 | 80 | 2009 |
Autonomous order dispatching in the semiconductor industry using reinforcement learning A Kuhnle, N Röhrig, G Lanza Procedia Cirp 79, 391-396, 2019 | 76 | 2019 |
Sustainability optimization for global supply chain decision-making R Bhinge, R Moser, E Moser, G Lanza, D Dornfeld Procedia Cirp 26, 323-328, 2015 | 76 | 2015 |