Hamed Farrokhi-Asl
Papers
2
Total Citations
104
H-Index
2
About
Hamed Farrokhi-Asl is a leading researcher in the optimization of advanced manufacturing systems, with a primary focus on robotic and human-robot collaborative assembly line balancing. His work addresses critical challenges in modern production environments, where customization, specialization, and efficiency must coexist. Farrokhi-Asl’s most-cited paper, "Multi-objective metaheuristics for solving a type II robotic mixed-model assembly line balancing problem" (2016, 62 citations), pioneers the use of multi-objective metaheuristic algorithms to optimize robotic assembly lines for high-volume, mixed-model production. This contribution is foundational for industries seeking to leverage robot capabilities while minimizing cycle times. Building on this, his 2020 study, "The Collaboration of Human-Robot in Mixed-Model Four-Sided Assembly Line Balancing Problem" (42 citations), extends the paradigm to include human-robot collaboration, addressing the complex balancing of tasks across four-sided workstations. By integrating human flexibility with robotic precision, Farrokhi-Asl’s research provides actionable frameworks for smart manufacturing, directly impacting productivity and ergonomics. His work is widely cited by scholars in industrial engineering and operations research, underscoring its relevance to both theoretical advancements and practical implementations in automated production systems.
Research Focus
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Top Papers
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