Abdelkader Mekhalef Benhafssa
École Européenne Supérieure de l'Image, Cole Engineering Services (United States)
Papers
3
Total Citations
16
H-Index
3
About
Abdelkader Mekhalef Benhafssa is a rising researcher at the forefront of intelligent manufacturing and industrial automation, specializing in the optimization of complex job shop scheduling problems. His work uniquely bridges the gap between operational efficiency and human factors, exploring how autonomous vehicles and robots can collaborate seamlessly with human workers. Benhafssa’s most cited paper, “A multi-agent system simulation of job shop scheduling with human consideration,” has garnered 9 citations for its comparative analysis of Automated Guided Vehicles (AGVs) and Autonomous Intelligent Vehicles (AIVs) in shared workspaces. He further advances the field by applying game theory to optimize scheduling in human–robot environments, a novel approach that balances competing objectives in dynamic factories. His research also tackles the pressing challenge of energy consumption in manufacturing, as demonstrated in his 2021 work on energy-conscious dynamic flexible job shop scheduling. With a growing citation footprint, Benhafssa is establishing himself as a key voice in sustainable, human-centric automation, offering practical solutions for the next generation of smart factories.
Research Focus
Key Achievements
Top Papers
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