孔敏，男，1991年7月生，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：数据驱动的供应链协调优化

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：18856025949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

2024年6月-2024年12月：工业系统工程与管理系，新加坡国立大学，访问学者，合作导师：Zhisheng Ye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

2022年12月-2023年5月，埃夫特智能装备股份有限公司管理顾问（安徽省第三批年轻干部赴企业实践锻炼）

二、 近五年作为第一作者或通讯作者在本专业领域国际主流期刊或者一级以上刊物发表论文情况。

[1] Min Kong, Weizhong Wang, Muhammet Deveci*, Yajing Zhang（研究生）, Xuzhong Wu*, and 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 [J]. International Journal of Production Research, 2024, 62 (18): 6449–72. (中科院二区TOP期刊, IF 7.0)

[2] Min Kong, Yajing Zhang*（研究生）, Jin Xu, Weizhong Wang*, Shaojun Lu, and Amir M. Fathollahi-Fard*. A Green Scheduling Model for Two-Stage Photo-Etching and Acid-Etching Collaboration in Semiconductor Manufacturing [J]. Journal of Industrial Information Integration, 2024, 100655. (中科院一区, IF 10.4)

[3] Min Kong, Peng Wu（研究生）, Yajing Zhang*（研究生）, Weizhong Wang*, Muhammet Deveci*, and Seifedine Kadry. Energy-efficient scheduling model and method for assembly blocking permutation flow-shop in industrial robotics field [J]. Artificial Intelligence Review, 2024, 57(3): 60. (中科院二区TOP期刊, IF 10.7)

[4] Mingyu Zhang （本科生）, Min Kong*, Houbo Shi, Weimin Tan, Amir M. Fathollahi-Fard*, and Zaher Mundher Yaseen. Bi-level programming for joint order acceptance and production planning in industrial robot manufacturing enterprise. Computers & Industrial Engineering, 2024, 196: 110471. (中科院一区TOP期刊，IF 6.7)

[5] Peng Wu（研究生）, Min Kong*, Han Zhang*, Amir M. Fathollahi-Fard*, Zaher Mundher Yaseen. Joint Scheduling Optimization of Production Assembly considering Testing Group in Sustainable Robot Manufacturing, Annals of Operations Research, 2024, DOI: 10.1007/s10479-024-06410-w. (ABS三星，IF 4.4)

[6] Weijian Zhang (研究生), Min Kong*, Yajing Zhang (研究生), Amir M. Fathollahi-Fard*, Guangdong Tian. Deep Reinforcement Learning for Parallel Machine Scheduling in Storage Chip Manufacturing Process Under Multi-Scenario Due Date Constraints, Swarm and Evolutionary Computation, 2024, 101808. (中科院一区, IF 8.2)

[7] Weijian Zhang (研究生), Min Kong*, Yajing Zhang (研究生), Amir M. Fathollahi-Fard*. Bi-Level Programming for Photo-Etching and Acid-Etching Processes in Sustainable Storage Chip Manufacturing, Journal of Industrial Information Integration, 2024, 100727. (中科院一区, IF 10.4)

[8] Min Kong, Jin Xu*, Tinglong Zhang*, Shaojun Lu*, Chang Fang, and Nenad Mladenovic. Energy-efficient rescheduling with time-of-use energy cost: Application of variable neighborhood search algorithm [J]. Computers & Industrial Engineering, 2021, 156: 107286. (中科院一区TOP期刊, IF 6.7)

[9] Min Kong, Jun Pei*, Jin Xu, Xinbao Liu, Xiaoyu Yu, and Panos M. Pardalos. A robust optimization approach for integrated steel production and batch delivery scheduling with uncertain rolling times and deterioration effect [J]. International Journal of Production Research, 2020, 58 (17): 5132–54. (中科院二区TOP期刊, IF 7.0)

[10] 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.(中科院三区期刊, IF 1.8)

[11] Shaojun Lu, Chiwei Hu, Min Kong*, Amir M. Fathollahi-Fard, Maxim A. Dulebenets*. Scheduling of memory chips for final testing on parallel machines considering power constraints and deteriorating effects. International Journal of Production Economics, 278 (2024): 109413.(中科院一区TOP期刊， IF 10.3)

[12] 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. (中科院二区TOP期刊, IF 7.0)

[13] Shaojun Lu, Yongqi Wang, Min Kong*, Weizhong Wang, Weimin Tan, and Yingxin Song. A Double Deep Q-Network framework for a flexible job shop scheduling problem with dynamic job arrivals and urgent job insertions. Engineering Applications of Artificial Intelligence 2024, 133: 108487. (中科院一区TOP期刊，IF 7.0)

[14] 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. (中科院四区期刊, IF 1.1)

[15] 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. (中科院四区期刊, IF 1.3)

[16] 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. (中科院四区期刊, IF 1.3)

[17] 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. (中科院一区TOP期刊，IF 10.2)

[18] 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.(中科院四区期刊, IF 2.4)

[19] 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. (中科院四区期刊, IF 1.1)

[20] 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. (中科院四区期刊, IF 1.1)

三、近五年主持的课题

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，结题，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，结题，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，结题，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、担任国际学术期刊Energy Systems副主编（Springer Nature出版社，2023年影响因子：2.3）

4、担任国际学术期刊buildings的客座主编

5、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