Papers
1
Total Citations
3
H-Index
1
About
Xiaoyan Teng’s research centers on supply chain optimization, with a particular focus on fresh agricultural product distribution and logistics network design. Her most notable contribution is a mixed integer robust programming model for multimodal terminal distribution networks, which directly addresses the critical challenge of balancing efficiency and cost in perishable goods supply chains. By integrating fixed cost minimization with robust optimization techniques, her work provides practical solutions for reducing operational expenses while maintaining product quality during last-mile delivery. Though early in her career, her 2023 paper has already garnered 3 citations, signaling growing recognition among logistics and operations researchers. Teng’s modeling approach stands out for its ability to handle real-world uncertainties—such as fluctuating demand and transportation disruptions—making her work highly relevant for both academic study and industrial application. Her research offers a valuable framework for students and practitioners seeking to improve sustainability and profitability in agricultural supply networks, positioning her as an emerging voice in the field of logistics optimization.
Research Focus
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Top Papers
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