Azadeh Farsi

University of Tehran, University of Arizona

Papers

Total Citations

H-Index

About

Azadeh Farsi is a leading researcher in the optimization of advanced manufacturing systems, with a primary focus on human-robot collaboration (HRC) and assembly line balancing. Her work addresses critical challenges in the integration of automation and human labor, particularly in high-precision industries like printed circuit board (PCB) assembly. In her most-cited paper (2020, 53 citations), Farsi introduced a constraint programming approach to schedule HRC tasks, demonstrating how to efficiently allocate collaborative operations between humans and robots to maximize throughput and safety. This contribution has become a foundational reference for researchers exploring flexible manufacturing. More recently, she has extended her expertise to parallel U-shaped robotic mixed-model assembly lines, employing parallel metaheuristics to solve complex sequencing and balancing problems (2024). Her research is notable for bridging theoretical optimization with practical industrial applications, offering scalable solutions for smart factories. Farsi’s work is highly influential among operations researchers and industrial engineers, providing actionable frameworks for the next generation of collaborative, automated production systems.