Alaeddine Zouari

Papers

Total Citations

H-Index

About

Alaeddine Zouari is a researcher focused on the optimization of robotic manufacturing processes, with a particular emphasis on minimizing non-productive time in industrial drilling operations. His major contributions center on the application of the novel Dhouib-Matrix-3 metaheuristic to solve complex path-planning problems for robotic arms. Specifically, his work optimizes the travel path of drilling tools between circular hole network patterns, significantly reducing idle time and improving overall operational efficiency. This hybrid metaheuristic, which iteratively structures and refines drilling sequences, represents a notable advancement in production engineering and automation. His most-cited paper, "Optimizing the Non-Productive Time of Robotic Arm for Drilling Circular Holes Network Patterns via the Dhouib-Matrix-3 Metaheuristic" (2023), has garnered 10 citations, while a closely related follow-up study has received 4 citations. Together, these works establish Zouari as a key contributor to the field of metaheuristic-driven manufacturing optimization, offering practical solutions that enhance the speed and cost-effectiveness of automated drilling systems. His research is particularly valuable for engineers and researchers seeking to integrate intelligent algorithms into robotic workflows for high-precision, repetitive tasks.