韩加林

韩加林，博士，副教授，硕导/博导，入选江西省“双千计划”。本科、硕士毕业于北京理工大学，博士毕业于澳大利亚悉尼科技大学，主要从事生产与服务系统调度、装备运维服务决策、物流系统规划与优化等方向研究工作，目前主持国家自然科学基金项目1项、江西省科技项目2项、江西省教改项目2项，出版学术专著1部，发表学术论文30余篇。

欢迎相关专业方向研究生与我联系，Email: jialinhan@jxufe.edu.cn。

发表的部分论文：

[1] Jialin Han, Jiaxiang Zhang, Haoyue Guo, Ning Zhan. Optimizing location-routing and demand allocation in the household waste collection system using a branch-and-price algorithm, European Journal of Operational Research, Available Online.

[2] Jialin Han, Qian Xiang, Bing Zeng, Yang Lei, Laishao Luo. A multi-objective dynamic covering location problem for hierarchical agricultural machinery maintenance facilities, Knowledge-Based Systems, 252 (2022) 109462.

[3] Jialin Han, Jiaxiang Zhang, Bing Zeng, Mingsong Mao. Optimizing dynamic facility location-allocation for agricultural machinery maintenance using Benders decomposition, Omega, 105 (2021) 102498. 

[4] Jialin Han, Yaoguang Hu, Mingsong Mao, Shuping Wan. A multi-objective districting problem applied to agricultural machinery maintenance service network, European Journal of Operational Research, 287 (2020) 1120-1130. 

[5] Jialin Han, Yilin Liu, Laishao Luo, Mingsong Mao. Integrated production planning and scheduling under uncertainty: A fuzzy bi-level decision-making approach, Knowledge-Based Systems, 201-202 (2020) 106056.

[6] Jialin Han, Jie Lu, Guangquan Zhang, Tri-level decision-making for decentralized vendor-managed inventory, Information Sciences, 421 (2017) 85-103.

[7] Jialin Han, Guangquan Zhang, Yaoguang Hu, Jie Lu, A solution to bi/tri-level programming problems using particle swarm optimization, Information Sciences, 370-371 (2016) 519-537. 
[8] Jialin Han, Jie Lu, Yaoguang Hu, Guangquan Zhang, Tri-level decision-making with multiple followers: Model, algorithm and case study, Information Sciences, 311 (2015) 182-204. 

[9] Jie Lu, Jialin Han, Guangquan Zhang, Yaoguang Hu. Multilevel decision-making: A survey. Information Sciences, 346-347 (2016) 463-487.

[10] Jie Lu, Zheng Yan, Jialin Han, Guangquan Zhang. Data-Driven Decision-Making (D3M): Framework, Methodology, and Directions. IEEE Transactions on Emerging Topics in Computational Intelligence, 3 (2019) 286-296.