Jinil Han

Papers

Total Citations

H-Index

About

Jinil Han is a distinguished researcher in industrial engineering and operations research, with a primary focus on optimizing logistics and material handling systems. His work centers on developing advanced heuristic algorithms for complex sequencing and scheduling problems, particularly within automated storage and retrieval systems. Han’s most cited paper, "A rollout heuristic algorithm for order sequencing in robotic compact storage and retrieval systems" (2022), has garnered 18 citations, demonstrating its influence in the field. This contribution introduces a novel rollout-based approach that significantly improves order sequencing efficiency, reducing operational costs and enhancing throughput in robotic warehouses. By combining dynamic programming principles with heuristic search, Han’s algorithm offers a practical solution to real-world logistics challenges, bridging the gap between theoretical optimization and industrial application. His research is highly relevant to the growing automation in e-commerce and supply chain management, where efficient storage and retrieval are critical. Han’s work not only advances academic knowledge but also provides actionable insights for practitioners, marking him as a rising expert in the intersection of robotics, optimization, and logistics.