| Supply chain risks in times of Industry 4.0: Insights from German cases M Zimmermann, E Rosca, O Antons, JC Bendul IFAC-PapersOnLine 52 (13), 1755-1760, 2019 | 24 | 2019 |
| Designing decision-making authorities for smart factories O Antons, JC Arlinghaus Procedia CIRP 93, 316-322, 2020 | 23 | 2020 |
| Data-driven and autonomous manufacturing control in cyber-physical production systems O Antons, JC Arlinghaus Computers in Industry 141, 103711, 2022 | 13 | 2022 |
| The impact of information and communication flow structures on logistics performance in industry 4.0 production systems with distributed control O Antons, JC Bendul EurOMA19, 2019 | 7 | 2019 |
| Distributing decision-making authority in manufacturing–review and roadmap for the factory of the future O Antons, JC Arlinghaus International Journal of Production Research 60 (13), 4342-4360, 2022 | 5 | 2022 |
| Management for Digitalization and Industry 4.0 J Arlinghaus, O Antons Handbook Industry 4.0: Law, Technology, Society, 927-948, 2022 | 5 | 2022 |
| A Manufacturing Scheduling Complexity Framework and Agent-Based Comparison of Centralized and Distributed Control Approaches O Antons, JC Arlinghaus IEEE Journal of Emerging and Selected Topics in Industrial Electronics 3 (1 …, 2021 | 4 | 2021 |
| Modelling autonomous production control: A guide to select the most suitable modelling approach O Antons, JC Arlinghaus International Conference on Dynamics in Logistics, 245-253, 2020 | 4 | 2020 |
| Applied Machine Learning for Production Planning and Control: Overview and Potentials K Büttner, O Antons, JC Arlinghaus IFAC-PapersOnLine 55 (10), 2629-2634, 2022 | 3 | 2022 |
| Opportunities for synchronization in manufacturing as key performance indicator F Knapp, O Antons, JC Arlinghaus Procedia CIRP 107, 1467-1472, 2022 | 3 | 2022 |
| Decision making in Industry 4.0–a comparison of distributed control approaches O Antons, J Bendul International Workshop on Service Orientation in Holonic and Multi-Agent …, 2019 | 3 | 2019 |
| Adaptive self-learning distributed and centralized control approaches for smart factories O Antons, JC Arlinghaus Procedia CIRP 104, 1577-1582, 2021 | 2 | 2021 |
| Management für Digitalisierung und Industrie 4.0 J Arlinghaus, O Antons Handbuch Industrie 4.0: Recht, Technik, Gesellschaft, 1121-1145, 2020 | 2 | 2020 |
| A generalized circular supply chain problem for multi-objective evolutionary algorithms T Benecke, O Antons, S Mostaghim, J Arlinghaus Proceedings of the Companion Conference on Genetic and Evolutionary …, 2023 | 1 | 2023 |
| Designing distributed decision-making authorities for smart factories–understanding the role of manufacturing network architecture O Antons, JC Arlinghaus International Journal of Production Research, 1-19, 2023 | 1 | 2023 |
| Distributing decision-making authority: autonomous entities in manufacturing networks O Antons, MT Hütt, B Peis Lehrstuhl für Management Science, 2022 | 1 | 2022 |
| Machine Learning and Autonomous Control—A Synergy for Manufacturing O Antons, JC Arlinghaus International Workshop on Service Orientation in Holonic and Multi-Agent …, 2021 | 1 | 2021 |
| Distributed control for Industry 4.0-A comparative simulation study O Antons, JC Arlinghaus IFAC-PapersOnLine 54 (1), 516-521, 2021 | 1 | 2021 |
| Learning Distributed Control for Job Shops-A Comparative Simulation Study O Antons, JC Arlinghaus International Workshop on Service Orientation in Holonic and Multi-Agent …, 2020 | 1 | 2020 |
| A Coevolution Approach for the Multi-objective Circular Supply Chain Problem T Benecke, O Antons, S Mostaghim, J Arlinghaus 2023 IEEE Conference on Artificial Intelligence (CAI), 222-223, 2023 | | 2023 |
Julia ArlinghausOtto-von-Guericke University Magdeburg, Fraunhofer Institut für Fabrikbetrieb undBestätigte E-Mail-Adresse bei iff.fraunhofer.de
