Achraf Rjeb

Clermont Université, Université Clermont Auvergne

Papers

Total Citations

H-Index

About

Achraf Rjeb is an emerging researcher whose work sits at the intersection of robotics, operations research, and logistics optimization. His scholarship focuses on the critical challenge of autonomous robot fleet management in warehouse environments — a problem of growing importance as e-commerce and automated supply chains continue to expand globally. Rjeb's most notable contributions center on the mathematical modeling of robot fleet sizing problems. In his 2021 work on homogeneous robot fleets, he developed rigorous frameworks for determining the minimum number of robots required to efficiently execute multi-phase transport operations, including loading, loaded travel, unloading, and empty travel cycles. He subsequently extended this work to heterogeneous fleets, addressing the more complex optimization challenge of selecting both the optimal robot types and quantities when handling diverse load categories. Together, these two papers have accumulated nearly 20 citations, signaling meaningful early traction within the robotics and industrial engineering communities. What distinguishes Rjeb's research is his progression from simplified to increasingly realistic warehouse scenarios, demonstrating both theoretical depth and practical applicability. His contributions offer valuable analytical tools for logistics engineers and warehouse designers seeking to deploy cost-effective autonomous systems. For students and researchers exploring autonomous logistics and combinatorial optimization, Rjeb's work provides a strong methodological foundation.