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7 Publikationen


2025 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 12719 | OA
Mordaschew, Viktoria, et al. “A Human Digital Twin for Worker-Centric Production.” Procedia Computer Science, vol. 253, 2025, pp. 2137–46, https://doi.org/10.1016/j.procs.2025.01.274.
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2024 | Konferenzband - Beitrag | ELSA-ID: 12788
Mordaschew, Viktoria, and Sven Tackenberg. “The Product Environmental Footprint – A Critical Review.” 5th International Conference on Industry 4.0 and Smart Manufacturing (ISM), edited by F. Longo et al., vol. 232, Elsevier BV, 2024, pp. 493–503, https://doi.org/10.1016/j.procs.2024.01.049.
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2024 | Konferenzband - Beitrag | ELSA-ID: 12795
Mordaschew, Viktoria, et al. “A Human Digital Twin of Disabled Workers for Production Planning.” 5th International Conference on Industry 4.0 and Smart Manufacturing (ISM), edited by F. Longo et al., vol. 232, Elsevier BV, 2024, pp. 745–51, https://doi.org/10.1016/j.procs.2024.01.074.
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2024 | Konferenzband - Beitrag | ELSA-ID: 12797
Herrmann, Jan-Phillip, et al. “A Multi-Skill RCPSP Variant for Persons with Disabilities in Sheltered Workshops.” 5th International Conference on Industry 4.0 and Smart Manufacturing (ISM), edited by F. Longo et al., vol. 232, Elsevier BV, 2024, pp. 1329–38, https://doi.org/10.1016/j.procs.2024.01.131.
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2024 | Konferenzband - Beitrag | ELSA-ID: 12813
Li, Li, et al. “Promising SLAM Methods for Automated Guided Vehicles and Autonomous Mobile Robots.” 5th International Conference on Industry 4.0 and Smart Manufacturing (ISM), edited by F. Longo et al., vol. 232, Elsevier BV, 2024, pp. 2867–74, https://doi.org/10.1016/j.procs.2024.02.103.
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2023 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 9358 | OA
Herrmann, Jan-Phillip, et al. “A Petri Net Architecture for Real-Time Human Activity Recognition in Work Systems.” Procedia Computer Science, vol. 217, Elsevier, 2023, pp. 1188–99, doi:https://doi.org/10.1016/j.procs.2022.12.317.
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2021 | Zeitschriftenaufsatz | ELSA-ID: 7033
Herrmann, Jan-Phillip, et al. “A Literature Review and Cluster Analysis of the Aachen Production Planning and Control Model under Industry 4.0.” Procedia Computer Science, vol. 180, 2021, pp. 208–18, https://doi.org/10.1016/j.procs.2021.01.158.
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