Lingkun Tian
Papers
2
Total Citations
49
H-Index
2
About
Lingkun Tian is a rising scholar in the field of logistics and warehouse automation, with a focused expertise in robotic mobile fulfillment systems (RMFS). Their research tackles the critical challenge of optimizing storage assignment to enhance operational efficiency in e-commerce and warehousing. Tian’s most cited work, “Robots’ picking efficiency and pickers’ energy expenditure: the item storage assignment policy in robotic mobile fulfillment system” (2022, 41 citations), makes a significant contribution by bridging the gap between robotic performance and human ergonomics. This study demonstrates how strategic item placement can simultaneously boost robot picking rates and reduce pickers’ physical strain, offering a dual-benefit framework for sustainable warehouse design. Building on this, Tian’s 2024 paper pioneers a joint optimization model for item and pod storage assignments, uniquely incorporating picking aisle workload balance—a novel approach that addresses a critical, often-overlooked bottleneck in RMFS. By integrating these strategic-level decisions, Tian provides a comprehensive solution that minimizes congestion and maximizes throughput. With a growing citation impact, Lingkun Tian’s work is shaping the future of human-robot collaborative warehousing, offering actionable insights for both researchers and industry practitioners seeking to design more efficient, equitable fulfillment systems.
Research Focus
Key Achievements
Top Papers
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