Projects per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Dive into the research topics where Birgit Vogel-Heuser is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Trafo4A@ AT-SW: Designregeln zur Transformation heterogener Automationssoftwarearchitekturen für CPPS
Vogel-Heuser, B. (PI)
1/05/25 → 30/04/27
Project: Research
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Data-based identification and prediction of the die surface condition and interactions in sheet bulk metal forming processes from coil
Vogel-Heuser, B. (PI) & Merklein, M. (PI)
1/11/23 → 31/10/26
Project: Research
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CHANGE aPS: Static Analysis to Support Change Management in Variant-rich Legacy Control Software for Machine and Plant Engineering companies)
Beckert, B. B. (PI) & Vogel-Heuser, B. (PI)
15/04/23 → 14/04/26
Project: Research
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Resi4MPM: Enhancement of the Overall Equipment Effectiveness of Factories – Development of Resilient Agent-Based Automation Systems for Machine and Plant Manufacturing Industry
Vogel-Heuser, B. (PI) & Hsieh, Y. M. (CoPI)
1/01/22 → 31/12/25
Project: Research
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ToolFlott: BIM gekoppelter Baumaschinen Werkzeugbedarf beim Einsatz maschineller instationärer Prozesse zur Verifikation des Baufortschrittes
Vogel-Heuser, B. (CoI) & Fottner, J. (PI)
1/07/22 → 30/06/24
Project: Research
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Advancing data-driven process modeling in metal forming
Liewald, M., Vogel-Heuser, B., Bergs, T., Huber, M. & Kröger, P., 1 Mar 2025, In: At-Automatisierungstechnik. 73, 3, p. 162-172 11 p.Research output: Contribution to journal › Article › peer-review
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Data-driven process modeling in metal forming
Vogel-Heuser, B., Fay, A. & Liewald, M., Apr 2025, In: At-Automatisierungstechnik. 73, 4, p. 221-222 2 p.Research output: Contribution to journal › Editorial
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Deep Reinforcement Learning-based Multi-Objective Scheduling for Distributed Heterogeneous Hybrid Flow Shops with Blocking Constraints
Sun, X., Shen, W., Fan, J., Vogel-Heuser, B., Bi, F. & Zhang, C., 2025, (Accepted/In press) In: Engineering.Research output: Contribution to journal › Article › peer-review
Open Access -
Deep Reinforcement Learning-based Multi-Objective Scheduling for Distributed Heterogeneous Hybrid Flow Shops with Blocking Constraints
Sun, X., Shen, W., Fan, J., Vogel-Heuser, B., Bi, F. & Zhang, C., Mar 2025, In: Engineering. 46, p. 278-291 14 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Development of an Alarm Pattern Detection Scheme for Managing Alarm Floods in Bumping Process
Hsieh, Y. M., Chen, P. J., Wilch, J., Vogel-Heuser, B., Chen, C. Y. & Ng, I. S., 2025, In: IEEE Robotics and Automation Letters. 10, 1, p. 335-342 8 p.Research output: Contribution to journal › Article › peer-review