Abderrahmane Aggoun
Papers
2
Total Citations
10
H-Index
2
About
Abderrahmane Aggoun is a researcher whose work sits at the intersection of logistics, optimization, and emerging technologies. His primary research areas include bin packing optimization, mobile robotics, and the integration of cloud computing within supply chain operations. A key contribution is his work on combining mobile robotics with packing algorithms to streamline order preparation in e-commerce warehousing, addressing the complex challenge of packing boxes while respecting constraints like orientation, fragility, and stackability. This research, published in 2020, has garnered 7 citations, reflecting its relevance to modern distribution challenges. Aggoun also authored a comprehensive panorama of real-life logistics applications, exploring how bin packing algorithms, robotics, and cloud technologies converge to solve practical industry problems. This 2016 work, with 3 citations, serves as a valuable overview for researchers and practitioners alike. Through these contributions, Aggoun demonstrates a clear focus on bridging theoretical optimization with tangible, real-world logistics solutions, making his work particularly relevant for students and researchers interested in the future of automated warehousing and efficient delivery systems.
Research Focus
Key Achievements
Top Papers
- 1Combining Mobile Robotics and Packing for Optimal deliveries7 citations · 2020
- 2