Yassine Qamsane

University of Michigan–Ann Arbor

Papers

1

Total Citations

4

H-Index

1

About

Yassine Qamsane is a researcher whose work lies at the intersection of smart manufacturing, industrial automation, and production systems optimization. His key contributions focus on developing agile and efficient methodologies for designing and reconfiguring manufacturing lines to respond rapidly to fluctuating product demands and factory dynamics. His most cited paper, "Manufacturing Line Design Configuration with Optimized Resource Groups" (2021), introduces a meta-heuristic algorithm capable of solving large-scale optimization problems in line design, enabling faster and more resource-efficient production setups. This work addresses critical challenges in modern manufacturing, such as adapting to product variety changes and minimizing downtime during reconfiguration. With 4 citations, this foundational research has already begun influencing the field of flexible manufacturing systems. Qamsane’s work is particularly notable for its practical orientation, bridging theoretical optimization with real-world industrial applications. His research is essential reading for students and professionals interested in Industry 4.0, digital twins, and the future of adaptive production lines.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Manufacturing Line Design Configuration with Optimized Resource Groups
4 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: University of Michigan–Ann Arbor

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago