Dr. Jingsheng Feng, a distinguished researcher at Hefei University of Technology, China, focuses on advanced logistics network optimization, supply chain resilience, and intelligent decision-making systems. His research integrates mathematical modeling, fuzzy logic, and multi-objective optimization to tackle complex challenges in customized logistics and industrial engineering. Notably, his work published in Computers & Industrial Engineering presents a reliable logistics network design model incorporating demand sensitivity to correlated disruptions, enhancing system robustness under uncertainty. In the International Journal of Systems Science: Operations & Logistics (, he co-developed disruption response strategy models for supplier selection and order allocation to support firms in maintaining operational stability during disruptions. His study in Expert Systems with Applications proposed fuzzy multi-objective team decision models for customer order decoupling point (CODP) and supplier selection, facilitating collaborative and data-driven decision-making in customized logistics supply chains. Additionally, his work in Computers & Industrial Engineering explored battery swapping service network deployment, addressing behavioral factors such as driver range anxiety and impatience. Through his interdisciplinary contributions, Dr. Feng bridges theory and practice in logistics and supply chain engineering, promoting demand responsiveness, risk mitigation, and intelligent system design to advance sustainable, adaptive, and human-centered logistics strategies for modern industrial ecosystems. Her research impact is evident from 15 citations across 4 documents with an h-index of 2.
Profiles : ORCID | Scopus
Featured Publications
1 .Feng, J., Hu, X., Xu, L., Luo, S., & Chen, J. (2025). Reliable logistics network design joint optimization problem applying demand sensitivity to correlated disruptions. Computers & Industrial Engineering.
2. Xu, L., Hu, X., Wu, Z., Luo, S., Feng, J., & Zhang, X. (2025). Disruption response strategy models for supplier selection and order allocation in customised logistics service supply chain. International Journal of Systems Science: Operations & Logistics.
3. Xu, L., Hu, X., Zhang, Y., Feng, J., & Luo, S. (2024). A fuzzy multiobjective team decision model for CODP and supplier selection in customized logistics service supply chain. Expert Systems with Applications, 213, 121387.
4. Hu, X., Zhang, X., Xu, L., Feng, J., & Luo, S. (2024). The battery swapping service network deployment problem: Impact of driver range anxiety and impatience. Computers & Industrial Engineering, 172, 110189.