Amanullah Fatehmulla

King Saud University

Papers

1

Total Citations

7

H-Index

1

About

Dr. Amanullah Fatehmulla is a leading researcher in industrial engineering and manufacturing optimization, with a particular focus on cost-efficient automation and robotic assembly systems. His most influential work introduces a novel non-dominated sorting genetic algorithm framework for the design and optimization of robotic assembly lines, addressing the critical challenge of minimizing total assembly costs—including initial setup, maintenance, and energy consumption. This study, published in 2025 and already garnering 7 citations, demonstrates his ability to tackle complex, multi-objective balancing problems with practical, data-driven solutions. Dr. Fatehmulla’s contributions are vital for advancing smart manufacturing, enabling industries to achieve higher productivity while reducing operational expenses. His research bridges theoretical optimization and real-world application, making him a key figure in the evolution of automated production systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
7
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Cost-efficient design and optimization of robotic assembly lines using a non-dominated sorting genetic algorithm framework
7 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: King Saud University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 10 days ago