Seyedeh Zeinab Beladian Behbahan
Papers
1
Total Citations
42
H-Index
1
About
Seyedeh Zeinab Beladian Behbahan is a researcher whose work lies at the intersection of industrial engineering, robotics, and manufacturing optimization. Her primary research focuses on the complex challenge of balancing assembly lines, particularly in mixed-model and four-sided configurations, where she integrates human-robot collaboration to enhance efficiency and flexibility. Her most-cited paper, "The Collaboration of Human-Robot in Mixed-Model Four-Sided Assembly Line Balancing Problem" (2020), has garnered 42 citations, reflecting its significance in advancing automation and ergonomic design in production systems. This work addresses critical real-world manufacturing issues by proposing models that optimize task allocation between humans and robots, reducing cycle times and improving worker safety. Behbahan’s contributions are notable for bridging theoretical optimization with practical industrial applications, offering solutions that are both computationally robust and implementable. Her research has implications for smart factories and Industry 4.0, where adaptive human-robot teamwork is key. Through her publications, Behbahan demonstrates a commitment to solving pressing operational problems, making her a valuable voice in the ongoing evolution of collaborative manufacturing systems.
Research Focus
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Top Papers
- 1