| Industry 4.0 readiness in Hungary: model, and the first results in connection to data application G Nick, Á Szaller, J Bergmann, T Várgedő IFAC-PapersOnLine 52 (13), 289-294, 2019 | 63 | 2019 |
| Characterizing curriculum prerequisite networks by a student flow approach R Molontay, N Horváth, J Bergmann, D Szekrényes, M Szabó IEEE Transactions on Learning Technologies 13 (3), 491-501, 2020 | 29 | 2020 |
| Online lead time prediction supporting situation-aware production control D Gyulai, A Pfeiffer, J Bergmann, V Gallina Procedia CIRP 78, 190-195, 2018 | 27 | 2018 |
| Simulation-based digital twin of a complex shop-floor logistics system D Gyulai, J Bergmann, A Lengyel, B Kádár, D Czirkó 2020 Winter Simulation Conference (WSC), 1849-1860, 2020 | 20 | 2020 |
| Personalized work instruction system for revitalizing human-machine interaction D Tsutsumi, D Gyulai, E Takács, J Bergmann, Y Nonaka, K Fujita Procedia CIRP 93, 1145-1150, 2020 | 15 | 2020 |
| Analysis of asset location data to support decisions in production management and control D Gyulai, A Pfeiffer, J Bergmann Procedia CIRP 88, 197-202, 2020 | 14 | 2020 |
| Towards a connected factory: Shop-floor data analytics in cyber-physical environments D Gyulai, J Bergmann, V Gallina, A Gaal Procedia Cirp 86, 37-42, 2019 | 11 | 2019 |
| Adaptive scheduling through machine learning-based process parameter prediction M Frye, D Gyulai, J Bergmann, RH Schmitt MM Science journal 2019 (Novemb), 3060-3066, 2019 | 6 | 2019 |
| Adaptive AGV fleet management in a dynamically changing production environment J Bergmann, D Gyulai, J Váncza Procedia Manufacturing 54, 148-153, 2021 | 5 | 2021 |
| Industry 4.0 readiness in Hungary: model, and the first results in connection to data application. IFAC-PapersOnLine, 52 (13), 289-294 G Nick, Á Szaller, J Bergmann, T Várgedő | 5 | 2019 |
| Adaptive network analytics for managing complex shop-floor logistics systems D Gyulai, J Bergmann, J Váncza CIRP Annals 69 (1), 393-396, 2020 | 4 | 2020 |
| Production rescheduling through product quality prediction M Frye, D Gyulai, J Bergmann, RH Schmitt Procedia Manufacturing 54, 142-147, 2021 | 3 | 2021 |
| Process parameter and logic extraction for complex manufacturing job shops leveraging network analytics and Digital Twin modelling techniques D Gyulai, K Ikeuchi, J Bergmann, S Rao, B Kádár CIRP Annals 72 (1), 417-420, 2023 | 2 | 2023 |
| Tool failure recognition using inconsistent data J Bergmann, KÉ Zeleny, J Váncza, A Kő Procedia CIRP 107, 1204-1209, 2022 | 2 | 2022 |
| A stochastic approach to calculate assembly cycle times based on spatial shop-floor data stream J Bergmann, D Gyulai, D Morassi, J Váncza Procedia CIRP 93, 1164-1169, 2020 | 2 | 2020 |
| Dynamic Production Line Re-balancing by Alternative Plans for Compensating Equipment Failures D Tsutsumi, J Bergmann, P Dobrovoczki, N Hayashi, A Kovács, ... Procedia CIRP 120, 810-815, 2023 | | 2023 |
| Kreditrendszerű képzések mintatanterveinek és előtanulmányi hálóinak elemzése a hazai matematika alapszakok példáján J Bergmann, R Molontay, M Szabó, DL Szekrényes Alkalmazott matematikai lapok 37 (1), 13-49, 2020 | | 2020 |
