Amir M. Fathollahi‐Fard
Université du Québec à Montréal, Macau University of Science and Technology
Papers
6
Total Citations
39
H-Index
2
About
Amir M. Fathollahi‐Fard is a leading researcher at the intersection of industrial engineering, robotics, and artificial intelligence, with a primary focus on human-robot collaboration (HRC) in manufacturing. His work addresses critical challenges in production planning, assembly line balancing, and disassembly sequence optimization under uncertainty. Fathollahi‐Fard has pioneered the development of advanced metaheuristic algorithms, including a discrete bees algorithm for mixed-flow assembly lines and multi-objective evolutionary approaches for collaborative disassembly. His contributions are particularly notable for integrating interval type-2 fuzzy modeling to handle real-world manufacturing uncertainties, enabling more robust decision-making in robot manufacturing enterprises. With over 39 citations across his most-cited papers since 2024, his research on bi-level programming for order acceptance and joint scheduling optimization has significant practical implications for industrial robot manufacturing. His recent work on heterogeneous interactive HRC disassembly line balancing with partial destructive modes represents a novel approach to sustainable manufacturing. Fathollahi‐Fard’s research is essential reading for engineers and researchers seeking to implement efficient, human-centric automation in complex production environments.
Research Focus
Key Achievements
Top Papers
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