Papers
6
Total Citations
32
H-Index
4
About
Hiwa Farughi is a specialized researcher in robotic manufacturing systems, with a particular focus on sequencing optimization, scheduling, and operational efficiency in robotic cells. His work centers on solving complex decision-making problems that arise in two- and three-machine robotic manufacturing environments, where uncertainty in parameters such as machine breakdowns, repair times, and cycle times presents significant operational challenges. Farughi's major contributions include developing mathematical programming models and applying metaheuristic algorithms to optimize part sequencing and robot movement cycles, maximizing output rates while minimizing cycle time and operational costs. His 2018 paper on two-machine robotic cell sequencing under uncertainty (11 citations) stands as his most influential work, employing computer simulation to address real-world manufacturing variability. Earlier foundational research utilizing Petri net modeling (2011) established a rigorous framework for analyzing robot move sequences in flexible cells capable of handling diverse part types. Across his body of work, Farughi has progressively tackled more complex scenarios, incorporating machine breakdowns, bi-criteria optimization, and multi-objective scheduling models. His research bridges theoretical modeling and practical manufacturing applications, making it valuable for industrial engineers and operations researchers seeking robust, efficient robotic cell designs under realistic, uncertain conditions.
Research Focus
Key Achievements
Top Papers
- 1Two-Machine Robotic Cell Sequencing under Different Uncertainties11 citations · 2018
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