教育背景
2018.09—2022.04 湖南大学，机械工程，工学博士

2013.09—2016.06 湖南大学，机械工程，工学硕士

2009.09—2013.06 华北水利水电大学，机械设计制造及其自动化，工学学士

工作履历

2022.05—至今郑州轻工业大学，GG游戏试玩平台

2016.06—2018.04  广东美芝制冷设备有限公司（美的集团）

教授课程

《数控技术》、《生产计划与控制》等

研究方向

智能制造（网络协同制造）；工业数字孪生；智能优化算法

近年来主要承担的项目

[1] 河南省青年科学基金项目（B类），面向设计制造联动的掘进装备数字孪生智能体构建与自主调度优化方法，2026.01-2028.12，25万，在研，主持

[2] 河南省科技研发计划联合基金青年科学家项目：数字孪生与AI融合的掘进装备定制化设计与制造一体化方法研究245200810082，2024.12-2027.12，20万，在研，主持。

[3] 国家自然科学基金项目：考虑供需互馈的生产与运维服务资源协同调度优化方法研究52305560，2024.01-2026.12，30万，在研，主持。

[4] 河南省科技攻关项目：数据驱动的盾构机关键部件运维服务与库存控制协同优化技术，232102221010，2023.01-2024.12，10万，结项，主持。

[5] 河南省科技攻关项目：考虑供需交互的矿山机械关键备件生产与运维资源协同调度优化技术，252102220032，2025.01-2026.12，主持。

[6] 隧道掘进机运维效用牵引的备件生产与库存控制协同优化关键技术研究，博士启动基金，2022BSJJZK04，2023.01-2025.12，10万，在研，主持。

[7] 智能互联装备群组的分层制造协同技术，江苏省工业装备数字制造及控制技术重点实验室开放研究基金，JDG20230018，，2022.01-2023.12，3万，结项，主持。

[8] 成套装备的多阶段在线协同运维技术，国家重点研发计划课题，2020YFB1712102，2020.11-2023.10，190万，结项，参与。

近年来获得的省部级以上奖励

[9] 2024年度河南省科技进步一等奖：矿用重载智能机械手与衬板换装关键技术及应用，2024-J-017-R06/15，排名6

[10] 2025年度河南省技术发明二等奖：基于数字孪生的复杂能源装备人机交互与智能管控关键技术及应用，2025-F-003-R03/07，排名3

[11] 2024年度中国物流与采购联公会科技进步二等奖：白酒发酵专用无人值守智能起重机关键技术研发及产业化应用，CFLP20240202022，排名第5

近年来代表性论文

[1] LikeZhang, Chong Liang, HaoLi*,et al. Optimal Production Scheduling of Critical Spare Parts under Multi-Category Mixed Order Constraints. Computers & Industrial Engineering, 2025:111517. (中科院SCI二区TOP)

[2] LikeZhang, Hua Wang, Wenpu Liu, et al. Integrated optimization of production and maintenance scheduling with third-party worker resource constraints in distributed parallel machines environment. Computers & Industrial Engineering, 2024, 198: 110647. (中科院SCI一区TOP)

[3] Zhang Like, Deng Qianwang, Wen Xiaoyu,et al. Optimal production scheduling with multi-round information interaction for demander-dominated decentralized scheduling problem. Engineering Applications of Artificial Intelligence, 2023, 123: 106228.(SCI二区TOP)

[4] Zhang Like, Deng Qianwang, Wang Zhen, et al. Collaborative scheduling of production resources and spare parts inventory for distributed equipment with feedback guidance and minimum capacity loss. Swarm and Evolutionary Computation, 2022, 75: 101200. (SCI一区TOP)

[5] Zhang Like, Deng Qianwang, Miao Bingxin, et al.Parallel service mode of production and inventory for spare part inventory optimization. Knowledge-Based Systems, 2022, 241: 108282. (SCI一区TOP)

[6] Zhang Like, Deng Qianwang, Lin Ruihang, et al. A combinatorial evolutionary algorithm for unrelated parallel machine scheduling problem with sequence and machine-dependent setup times, limited worker resources and learning effect. Expert Systems with Applications, 2021, 175: 114843. (SCI一区TOP)

[7] Zhang Like, Deng Qianwang, Zhao Yan, et al. Joint optimization of demand-side operational utility and manufacture-side energy consumption in a distributed parallel machine environment. Computers & Industrial Engineering, 2022, 164: 107863.(SCI一区)

[8] Zhang Like, Deng Qianwang, Gong Guiliang, Han Wenwu. A new unrelated parallel machine scheduling problem with tool changes to minimise the total energy consumption. International Journal of Production Research, 2020, 58(22): 6826-6845. (SCI二区TOP)

[9] Zhang Like, Wenpu Liu, Hua Wang, et al.Flexible Job-Shop Scheduling Integrating Carbon Cap-And-Trade Policy and Outsourcing Strategy. Sustainability,2025, 17(15): 6978.(SCI三区)

[10] 张丽科, 梁冲, 吴军伟, 等. 具有多类别客户约束的多场地复杂装备MRO服务工人调度优化. 机械工程学报, 2025, 1-13. (中国机械工程领域顶级刊物，EI论文)

[11] Zhao Yan, Deng Qianwang, Zhang Like, Han Weifeng, Li Fengyuan. Optimal spare parts production-distribution scheduling considering operational utility on customer equipment. Expert Systems with Applications, 2023, 214: 119204. (SCI一区TOP)

[12] Wang Zhen, Deng Qianwang, Zhang Like, Liu Xiaoyan. Integrated scheduling of production, inventory and imperfect maintenance based on mutual feedback of supplier and demander in distributed environment. Journal of Intelligent Manufacturing, 2022: 1-23. (SCI一区TOP)

[13] Miao Bingxin, Deng Qianwang, Zhang Like, Huo Zhangwen, Liu Xiaoyan. Collaborative scheduling of spare parts production and service workers driven by distributed maintenance demand. Journal of Manufacturing Systems, 2022, 64: 261-274. (SCI一区TOP)

[14] Wang Zhen, Deng Qianwang, Zhang Like, Li Haiqiu, Li Fengyuan. Joint optimization of integrated mixed maintenance and distributed two-stage hybrid flow-shop production for multi-site maintenance requirements. Expert Systems with Applications, 2023, 215: 119422. (SCI一区TOP)

[15] Li Kexin, Deng Qianwang, Zhang Like, Fan Qing, Gong Guiliang, Ding Sun. An effective MCTS-based algorithm for minimizing makespan in dynamic flexible job shop scheduling problem. Computers & Industrial Engineering, 2021, 155: 107211. (SCI二区)

[16] Zhu Huan, Deng Qianwang, Zhang Like, Hu Xiang, Lin Wenhui. Low carbon flexible job shop scheduling problem considering worker learning using a memetic algorithm. Optimization and Engineering, 2020, 21(4): 1691-1716. (SCI三区)