孔敏，男，安徽池州人，管理学博士，现任安徽师范大学经济管理学院副教授，硕士生导师。

研究方向为：数据驱动的绿色智能制造、商务大数据驱动的供应链协同调度、复杂能耗影响因素制约下的能耗优化管理、元启发式算法及其应用、乡村振兴与产业互联网

主要讲授课程为：数学建模和软件求解、Python程序设计、大数据与人工智能

联系方式：hfutkm@126.com或minkong@ahnu.edu.cn

一、学习工作经历

学习经历

2011年9月-2015年6-月：物流管理专业，合肥工业大学管理学院，获管理学学士学位

2015年9月-2020年7月：管理科学与工程专业，合肥工业大学管理学院，获管理学博士学位，导师：刘心报教授

2018年11月-2019年11月：工业与系统工程系，美国德州农工大学，联合培养博士生，合作导师：Sergiy Butenko教授

工作经历

2020年7月-2021年11月，安徽师范大学经济管理学院讲师

2021年12月-至今，安徽师范大学经济管理学院副教授

二、代表性论文和出版著作

论文：

[1] Min Kong*, Xinbao Liu, Jun Pei*, Panos M. Pardalos, Nenad Mladenovic. Parallel-batching scheduling with nonlinear processing times on a single and unrelated parallel machines, Journal of Global Optimization, 2020, 78: 693-715.

[2] Min Kong, Weizhong Wang, Muhammet Deveci*, Yajing Zhang, Xuzhong Wu*, D'Maris Coffman.A Novel Carbon Reduction Engineering Method-based Deep Q-learning Algorithm for Energy-efficient Scheduling on a Single Batch-processing Machine in Semiconductor Manufacturing. International Journal of Production Research, 2023, 10.1080/00207543.2023.2252932.

[3] Min Kong, Jun Pei*, Jin Xu, Xinbao Liu, Xiaoyu Yu, Panos M. Pardalos. A robust optimization approach for integrated steel production and batch delivery scheduling with uncertain rolling times and deterioration effect. International Journal of Production Research, 2020, 58(17): 5132-5154.

[4] Min Kong, Jin Xu, Tinglong Zhang, Shaojun Lu, Chang Fang, Nenad Mladenovic. Energy-Efficient Rescheduling with Time of Use Energy Cost: Application of Variable Neighborhood Search Algorithm, Computers & Industrial Engineering, 2021, DOI: 10.1016/j.cie.2021.107286.

[5] Min Kong, Xinbao Liu, Jun Pei*, Hao Cheng, Panos M. Pardalos. A BRKGA-DE algorithm for parallel-batching scheduling with deterioration and learning effects on parallel machines under preventive maintenance consideration, Annals of Mathematics and Artificial Intelligence, 2020, 88:237-267.

[6] Min Kong*, Jing Zhou, Jun Pei*, Xinbao Liu, Panos M. Pardalos. A modified variable neighborhood search algorithm for manufacturer selection and order acceptance in distributed virtual manufacturing network, Optimization Letters, 2022, 16: 117-135.

[7] Min Kong*, Xinbao Liu, Jun Pei*, Zhiping Zhou, Panos M. Pardalos. Parallel-batching scheduling of deteriorating jobs with non-identical sizes and rejection on a single machine, Optimization Letters, 2020, 14:857-871.

[8] Min Kong*, Jun Pei, Xinbao Liu, Pei-Chun Lai, Panos M. Pardalos. Green manufacturing: order acceptance and scheduling subject to the budgets of energy consumption and machine launch. Journal of Cleaner Production, 2019, 10.1016/j.jclepro.2019.119300.

[9] Shaojun Lu,Min Kong*, Zhiping Zhou*, Xinbao Liu*, Siwen Liu. A hybrid metaheuristic for a semiconductor production scheduling problem with deterioration effect and resource constraints. Operational Research: An international journal, 2022, 22(5): 5405-5440.

[10] Jun Pei*, Haoxin Wang,Min Kong*, Nenad Mladenovic, Panos M Pardalos. Bi-level scheduling in high-end equipment R&D: when more algorithm strategies may not be better. International Journal of Production Research. 2022, 10.1080/00207543.2022.2102448.

[11] Kaining Shao, Wenjuan Fan, Shaowen Lan,Min Kong, Shanlin Yang. A column generation-based heuristic for brachytherapy patient scheduling with multiple treatment sessions considering radioactive source decay and time constraints. Omega, 2023：102853.

[12] Ting Zhao, Shaojun Lu*,Min Kong*, Hao Cheng, Xinbao Liu*. Green scheduling of packaging in the global logistics distribution centre with a dominant job and deterioration effects. International Journal of Logistics Research and Applications. 2022, 10.1080 /13675567. 2022. 2136365.

[13] Chaoming Hu, Shaojun Lu*,Min Kong*, Xinbao Liu*, Panos M Pardalos. Parallel machine scheduling with linearly increasing energy consumption cost. Annals of Mathematics and Artificial Intelligence. 2022, 10.1007/s10472-022-09810-5.

[14] Chaoming Hu,Min Kong*, Jun Pei*, Xinbao Liu, Panos M. Pardalos. Integrated inventory and production policy for manufacturing with perishable raw materials. Annals of Mathematics and Artificial Intelligence, 2022, 89 (8): 777-797.

[15] Jun Pei*, Baiyi Cheng, Xinbao Liu*, Panos M. Pardalos,Min Kong. Single-machine and parallel-machine serial-batching scheduling problems with position-based learning effect and linear setup time. Annals of Operations Research, 2019, 272:217-241.

[16] Wenjuan Fan, Jun Pei*, Xinbao Liu*, Panos M. Pardalos,Min Kong. Serial-batching group scheduling with release times and the combined effects of deterioration and truncated job-dependent learning. Journal of Global Optimization, 2018, 71:147-163.

[17] Jun Pei*, Xinbao Liu*, Baoyu Liao, Panos M. Pardalos,Min Kong. Single-machine scheduling with learning effect and resource-dependent processing times in the serial-batching production. Applied Mathematical Modelling. 2018, 58: 245-253.

[18] 张雅静，孔敏，胡光铭，张廷龙.乡村振兴发展水平综合评价体系研究综述[J]. 统计与决策, 2023,39(07):39-45.

三、主持及参与的课题

1、实时电价情境下复杂装备供应链绿色调度建模与优化方法研究，国家自然科学基金青年科学基金项目，72301004，在研，主持

2、波动电价下高端装备制造过程能效平衡多目标鲁棒调度优化方法，中国博士后科学基金第71批面上资助项目（二等），2022M710996，在研，主持

3、波动电价情境下数据驱动的制造过程节能调度鲁棒优化研究，教育部人文社会科学研究青年项目，22YJC630050，在研，主持

4、波动电价情境下高端装备制造过程节能调度优化研究，安徽省自然科学基金青年项目，2108085QG291，在研，主持

5、基于区块链共治运营的汽车制造链韧性提升策略研究，安徽省哲学社会科学规划课题青年项目，AHSKQ2022D070，在研，主持

6、机器休眠节能策略下高端装备制造企业能效平衡调度优化研究，安徽高校自然科学研究项目重点项目，KJ2020A0069，在研，主持

7.、芜湖市高层次人才招引政策实施效果评价指标体系及可视化系统应用，芜湖市科技计划项目创新环境（软科学）研究项目，2022rkx07，在研，主持

四、教学科研荣誉及社会影响

1、入选ESI高被引论文1篇

2、担任Mathematical Reviews评论员

3、担任Energy System国际期刊副主编

4、担任IISE Transactions、IEEE Transactions on Cybernetics、IEEE Transactions on Automation Science and Engineering、International Journal of Production Research、Journal of Global Optimization、Annals of Operations Research、Optimization Letters等学科领域重要学术期刊审稿人