Elkafi Hassini
Papers
3
Total Citations
129
H-Index
3
About
Elkafi Hassini is a leading researcher in operations research and supply chain management, with a focused expertise in robotic mobile fulfillment systems (RMFS) and warehouse logistics optimization. His major contributions center on enhancing order picking efficiency through innovative mathematical modeling and hybrid algorithms. In his highly cited 2021 work (67 citations), Hassini introduced an integrated model for multi-workstation order and rack sequencing that reduces rack movements by approximately 62% while balancing workload and preventing conflicts. His subsequent studies on rack retrieval and repositioning (2022, 34 citations) and storage assignment optimization (2024, 28 citations) further advance practical solutions for e-commerce and automated warehousing. Hassini’s research directly addresses critical industry challenges, offering scalable, benchmarked approaches that improve throughput and reduce operational costs. His work is widely recognized for bridging theoretical optimization with real-world implementation, making him a key figure in modern logistics and supply chain innovation.
Research Focus
Key Achievements
Top Papers
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