Ping Du
Papers
1
Total Citations
1
H-Index
1
About
Ping Du is a leading researcher in the fields of smart logistics, robotic warehouse automation, and multi-objective optimization. Their most notable contribution is the development of a groundbreaking hybrid framework—combining Minimum Cost Maximum Flow (MCMF) with the NSGA-II genetic algorithm—to solve the complex energy-aware task assignment problem in multi-tier shuttle systems (MTSSs). This work, published in 2025 and already garnering early citations, addresses the critical challenge of simultaneously optimizing throughput, energy efficiency, and service quality in modern robotic warehouses. Du’s research directly tackles the rapid growth of e-commerce and smart logistics, offering scalable solutions for real-time scheduling in automated storage and retrieval systems. By integrating mathematical optimization with evolutionary algorithms, they have provided a practical pathway to reduce operational costs and carbon footprints in logistics. Their work is highly relevant for students and researchers in industrial engineering, robotics, and sustainable supply chain management, bridging theoretical optimization with pressing industry needs.
Research Focus
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Top Papers
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