个人简介
孔敏，男，安徽省池州人，管理学博士。学习经历1.2011年9月至2015年7月,在合肥工业大学管理学院物流管理专业学习，获管理学学士学位。2.2015年9月至2020年7月,在合肥工业大学管理科学与工程专业学习，获得管理学博士学位。3.2018年11月至2019年11月,赴美国德州农工大学工业与系统工程专业开展联合培养博士项目。
研究领域
绿色智能制造、元启发式算法、工业互联网技术应用等
授权发明专利[1] 2017年6月，基于混合蛙跳—路径重连的生产运输协同调度方法和系统，发明专利，第三专利人；[2] 2017年6月，基于混合集合蛙跳与变邻域算法的平行机调度方法及系统，发明专利，第三专利人；[3] 2017年6月，基于改进变邻域搜索算法的生产调度方法及系统，发明专利，第四专利人；[4] 2017年6月，基于改进遗传算法的同类平行机批调度方法及系统，发明专利，第五专利人；[5] 2017年6月，基于改进粒子群算法供应链生产运输协同调度方法及系统，发明专利，第六专利人；[6] 2017年6月，基于改进和声搜索的生产和运输协同调度方法和系统，发明专利，第七专利人；[7] 2017年9月，基于改进人工蜂群算法的生产调度方法及系统，发明专利，第四专利人；[8] 2017年9月，基于变邻域搜索和引力搜索混合算法的调度方法及系统，发明专利，第五专利人；[9] 2017年9月，基于改进禁忌搜索算法的生产运输协同调度方法及系统，发明专利，第七专利人；[10] 2019年9月，Scheduling method and system based on hybrid variable neighborhood search and gravitational search algorithm,美国发明专利，第五专利人；[11] 2019年9月，Method and system for scheduling parallel processing machines based in hybrid shuffled frog leaping algorithm and variable neighborhood search algorithm，美国发明专利，第三专利人。
近期论文
[1]KongM,Liu X, Pei J, et al. Parallel-batching scheduling with nonlinear processing times on a single and unrelated parallel machines [J]. Journal of Global Optimization, 2018: S10898-018-0705-3.（SCI、EI收录期刊）[2]KongM,Pei J, Liu X, et al. Green Manufacturing: Order Acceptance and Scheduling Subject to the Budgets of Energy Consumption and Machine Launch [J]. Journal of Cleaner Production, 2019: 10.1016/j.jclepro.2019.119300.（SCI、EI收录期刊）[3]KongM,Pei J, Xu J, et al. 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, 2019: 10.1080/00207543.2019.1693659.（SCI、EI收录期刊）[4]KongM,Liu X, Pei J, et al. Parallel-batching Scheduling of Deteriorating Jobs with Non-identical Sizes and Rejection on a Single Machine [J]. Optimization Letters, 2020, (14): 857–871.（SCI、EI收录期刊）[5]KongM,Liu X, Pei J, et al. A BRKGA-DE algorithm for parallel-batching scheduling with deterioration and learning effects on parallel machines under preventive maintenance consideration [J]. Annals of Mathematics and Artificial Intelligence, 2020, (88): 237–267.（SCI收录期刊）[6]KongM,Zhou J, Pei J, et al. A modified variable neighborhood search algorithm for manufacturer selection and order acceptance in distributed virtual manufacturing network [J]. Optimization Letters, 2019: 10.1007/s11590-019-01450-9.（SCI、EI收录期刊）[7] Pei J, Cheng B, Liu X, et al. Single-machine and parallel-machine serial-batching scheduling problems with position-based learning effect and linear setup time [J]. Annals of Operations Research, 2019, (272): 217–241.[8] Pei J, Liu X, Liao B, et al. Single-machine scheduling with learning effect and resource-dependent processing times in the serial-batching production [J]. Applied Mathematical Modelling, 2018, 58(JUN.): 245-253.[9] Fan W, Pei J, Liu X, et al. Serial-batching group scheduling with release times and the combined effects of deterioration and truncated job-dependent learning [J]. Journal of Global Optimization, 2018, 71(1):147-163.[10] Fan W, Pei J, Ding S, et al. A Novel Trust Inference Framework for Web-Based Scenarios Harnessed by Social Network and Web of Trust - a Heuristic Approach [J]. Informatica, 2016, 27(2): 405-432.[11] Ma C, Kong M, Pei J, et al. BRKGA-VNS for Parallel-Batching Scheduling on a Single Machine with Step-Deteriorating Jobs and Release Times [C]. Lecture Notes in Computer Science, 2017, 10710: 414-425.（EI会议期刊）
