常丰田 讲师

• 学院： 工程机械学院
• 性别： 男
• 出生年月： 1991-09
• 职称： 讲师
• 学位： 博士
• 学历： 研究生
• 毕业院校： 西安交通大学
• 联系电话： 029-82334586
• 电子邮箱： ftchang@chd.edu.cn
• 通讯地址： 西安市南二环中段
• 邮编： 710064
• 传真：
• 办公地址： 工程机械学院机制系
• 教育经历：

  2014~2020, 西交大, 博士

  2010~2014, 郑州大学,  学士

        常丰田（1991~），男，河南洛阳人，2014年9月获郑州大学工学学士学位，2020年12月获得西安交通大学工学博士学位，现任职于长安大学工程机械学院，隶属于长安大学智能制造系统研究团队。

        近五年内，主要从事智能制造服务相关的研究，包括：智能MRO服务，系统级智能运维决策及优化，数字孪生、区块链和智能产品服务系统等。围绕研究方向，主持 1 项陕西省自然科学基金，1 项企业级横向项目，作为课题骨干先后参与国家重点研发计划、工信部智能制造专项、科技部创新方法工作专项和国家自然科学基金等多项国家级项目。

        研究成果出版学术专著 1 部、教材 1 部；在 Journal of Cleaner Production、Journal of Manufacturing Systems、Advanced Engineering Informatics、Computers & Industrial Engineering和西安交通大学学报等高质量期刊上发表SCI/EI论文30余篇；团队合作组建了“知识资源集成管理平台”、“数字孪生制造单元平台”、“循环水泵数字孪生系统”、“核电循环水泵系统综合实验台”等，在陕鼓动力、国投生物、福清核电等多家企业取得了较好的应用示范效果。

1. 中国机械工程学会（CMES），高级会员

2. JCLP、AEI、IJPR、CAIE、JMS、IEEE TII、IEEE TASE、《机械工程学报》、《西安交通大学学报》：Invited Reviewer

【研究对象】

         复杂/高端装备：核电装备，工程装备、新能源汽车装备和数控装备

【研究领域】

         [1]新一代智能运维服务新模式和系统

         [2]数字孪生驱动的复杂装备智能生产和运维服务技术

         [3]区块链使能的复杂装备运维服务协同可信运行控制方法

         [4]复杂装备全生命周期的多维度群智协同理论和方法

【研究方法】

         数字孪生、区块链、深度机器学习、知识图谱等

【本科生专业课程】

       1. 数控机床与编程

       2. 工程运筹管理

1. 陕西省，自然科学基础研究计划，2022JQ-516，面向智能筑路装备广域运维的可信数据空间构建及服务协同决策方法，2022/1-2023/12，5万，在研，主持；

2. 企业委托，中国核电工程有限公司，KY19009，核电厂智慧综合保障体系建设方案咨询，2021/10-2022/05，15万，在研，主持；

3. 科技部，国家重点研发计划项目，2021YFB3301700, 大规模制造产业工业互联平台研发与应用，1475万元, 在研, 参与，课题骨干；

4. 科技部，国家重点研发计划项目，2020YFB1713400，新能源汽车制造产业集聚区域网络协同制造集成技术研究与应用示范，2020/11-2023/10，728万，在研，参与，课题骨干；

5. 国家自然科学基金委员会，面上项目，51975463，数据-知识混合驱动的数字孪生制造单元建模与优态运行控制方法研究，2020/01-2023/12，60万，在研，参与，课题骨干；

6. 科技部，国家重点研发计划项目，2019YFB1705400，数据驱动的制造企业智能决策技术与系统，2019/12-2022/11，1327万，在研，参与，课题骨干；

7. 工信部，智能制造综合标准化与新模式应用重大专项，大型动力装备智能制造新模式应用，2016.07-2020.12，8018万，已结题，参与，课题骨干；

8. 科技部，创新方法工作专项，2015IM020600，高端装备制造企业知识资源集成方法研究与应用示范，2015.10-2017.10，254万元，已结题，参与，课题骨干；

9. 教育部,新世纪优秀人才计划，NCET-12-0452，服务型网络化数字制造技术与服务系统，2013.01-2015.12，50万，已结题，参与，课题骨干；

1. 常丰田, 周光辉, 李锦涛, 张超与肖忠东 (2022). 边-云协同下智能制造单元的物联网络协调配置方法. 西安交通大学学报(06): 1-10.
   

2. Fengtian Chang, Guanghui Zhou, Fengtiao Chang, Kai Ding, Chao Zhang, and Wei Cheng. 2022. Orininal Equipment Manufacturer-dominated Multi-player Intelligent Collaborative Maintenance Service Mode. Computer Integrated Manufacturing Systems: 1-20.

3. Fengtian Chang, Guanghui Zhou, Chao Zhang, Kai Ding, Wei Cheng, and Fengjiao Chang. 2021. A maintenance decision-making oriented collaborative cross-organization knowledge sharing blockchain network for complex multi-component systems. Journal of Cleaner Production (282): 124541.

4. Fengtian Chang, Guanghui Zhou, Wei Cheng, Kai Ding, and Changle Tian. 2020. A Stackelberg game-theory approach for maintenance grouping of complex multi-component system under smart product-service paradigm. Procedia Manufacturing 49: 173-179. doi:10.1016/j.promfg.2020.07.015.

5. Fengtian Chang, Guanghui Zhou, Wei Cheng, Chao Zhang, and Changle Tian. 2019. A service-oriented multi-player maintenance grouping strategy for complex multi-component system based on game theory. Advanced Engineering Informatics 42: 100970. doi:https://doi.org/10.1016/j.aei.2019.100970.

6. Fengtian Chang, Guanghui Zhou, Chao Zhang, Zhongdong Xiao, and Chuang Wang. 2019. A service-oriented dynamic multi-level maintenance grouping strategy based on prediction information of multi-component systems. Journal of Manufacturing Systems 53: 49-61. doi:10.1016/j.jmsy.2019.09.005.

7. Fengtian Chang, Guanghui Zhou, Xiaoping Xiao, Changle Tian, and Chao Zhang. 2018. A function availability-based integrated product-service network model for high-end manufacturing equipment. Computers & Industrial Engineering 126: 302-316. doi:https://doi.org/10.1016/j.cie.2018.09.043.

8. Fengtian Chang, Guanghui Zhou, Changle Tian, Chao Zhang, and Chuang Wang (2018). Identification of influential nodes in multi-layer mapping service network for high-end manufacturing equipment. In 15th International Conference on Networking, Sensing and Control (ICNSC2018) (pp. 1-6).

9. Fengtian Chang, Guanghui Zhou, and Qi Lu. 2017. A Mapping Network Model Integrating Service to Warrant Function Availability of Complex Electro-mechanical Products. Procedia CIRP 61: 667-672. doi:https://doi.org/10.1016/j.procir.2016.11.165.

10. Fengyi Lu, Guanghui Zhou, Chao Zhang, Yang Liu, Fengtian Chang, and Zhongdong Xiao. 2023. Energy-efficient multi-pass cutting parameters optimisation for aviation parts in flank milling with deep reinforcement learning. Robotics and computer-integrated manufacturing 81: 102488. doi:10.1016/j.rcim.2022.102488.

11. Chao Zhang, Guanghui Zhou, Jingjing Li, Fengtian Chang, Kai Ding, and Dongxu Ma. 2023. A multi-access edge computing enabled framework for the construction of a knowledge-sharing intelligent machine tool swarm in Industry 4.0. Journal of Manufacturing Systems 66: 56-70.

12. Guanghui Zhou, Zhenghao Chen, Chao Zhang, and Fengtian Chang. 2022. An adaptive ensemble deep forest based dynamic scheduling strategy for low carbon flexible job shop under recessive disturbance. Journal of Cleaner Production: 130541.

13. Yanzhen Jing, Guanghui Zhou, Fengtian Chang, Chao Zhang, Hairui Yan, and Zhongdong Xiao (2022). A Rule-enhanced Collaborative Design Method for Automobiles Considering Manufacturing Constraints. In 2022 IEEE 25th International Conference on Computer Supported Cooperative Work in Design (CSCWD) (pp. 1047-1052).

14. Chao Zhang, Guanghui Zhou, Yanzhen Jing, Rui Wang, and Fengtian Chang. 2022. A Digital Twin-based Automatic Programming Method for Adaptive Control of Manufacturing Cells. IEEE Access.

15. 张超, 周光辉, 李晶晶, 魏智博与常丰田 (2022). 新一代信息技术赋能的数字孪生制造单元系统关键技术及应用研究. 机械工程学报: 1-15.

16. Qingfeng Xu, Guanghui Zhou, Chao Zhang, Fengtian Chang, Qian Huang, Min Zhang, Yifan Zhi, and Di Li. 2022. Digital twin-driven intelligent maintenance decision-making system and key-enabling technologies for nuclear power equipment. Digital Twin 2 (14): 14.

17. Chao Zhang, Guanghui Zhou, Jingjing Li, Tianyu Qin, Kai Ding, and Fengtian Chang. 2022. KAiPP: An interaction recommendation approach for knowledge aided intelligent process planning with reinforcement learning. Knowledge-Based Systems 258: 110009. doi:https://doi.org/10.1016/j.knosys.2022.110009.

18. Ruirui Zhang, Hairui Yan, Zhongdong Xiao, Guanghui Zhou, Fengtian Chang, Shuqi Yang, Xuedong Fei, and Xinrui Yang (2022). Intelligent Manufacturing Core Enterprise-dominated Collaborative Dataspace Framework for New Energy Vehicle. In 2022 International Conference on Data Analytics, Computing and Artificial Intelligence (ICDACAI) (pp. 145-151).

19. Jingyuan Lei, Jizhuang Hui, Fengtian Chang, Salim Dassari, and Kai Ding. 2022. Reinforcement learning-based dynamic production-logistics-integrated tasks allocation in smart factories. International journal of production research ahead-of-print (ahead-of-print): 1-18. doi:10.1080/00207543.2022.2142314.

20. Fengjiao Chang, Feng Wu, Fengtian Chang, and Hongyu Hou. 2021. Research on adaptive transmission and controls of COVID-19 on the basis of a complex network. Computers & Industrial Engineering 162: 107749.

21. Le Zhang, Wei Cheng, Xue Liu, Xuefeng Chen, Fengtian Chang, Junying Hong, and Xiaofei Li (2021). System-level Anomaly Detection for Nuclear Power Plants Using Variational Graph Auto-encoders. In 2021 IEEE International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC) (pp. 180-185).

22. Chao Zhang, Guanghui Zhou, Fengtian Chang, and Xiongjun Yang. 2020. Learning domain ontologies from engineering documents for manufacturing knowledge reuse by a biologically inspired approach. The International Journal of Advanced Manufacturing Technology 106 (5-6): 2535-2551. doi:10.1007/s00170-019-04772-1.

23. 王闯, 常丰田与高佳佳 (2020). 基于自动导引车单向导引路径网络的智能车间设备布局规划. 计算机集成制造系统 26 (04): 939-946.

24. Chuang Wang, Guanghui Zhou, Fengtian Chang, and Yu Zhang. 2020. The module configuration optimization of vertical computer numerical control honing machine based on ideal outranking cardinal point. Science progress (1916) 103 (3): 3685042093572-36850420935729. doi:10.1177/0036850420935729.

25. Guanghui Zhou, Fengtian Chang, Changle Tian, and Qi Lu. 2018. A reliability optimization allocation method for the hydraulic system of CNC honing machine considering the operating condition information. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 232 (12): 2244-2264. doi:10.1177/0954406217719475.

26. 郭艳婕, 周光辉, 杨立娟, 田绍华, 杨林, 常丰田, 田长乐与杨雷 (2018). 面向柔性制造系统教学平台建设及实践教学设计. 实验室科学 21 (01): 213-217+221.

27. Guang-hui Zhou, Chang-le Tian, Jun-jie Zhang, Feng-tian Chang, and Qi Lu. 2018. Multi-objective process route optimization considering carbon emissions. The International Journal of Advanced Manufacturing Technology 96 (1-4): 1195-1213. doi:10.1007/s00170-018-1646-1.

28. Qi Lu, Guang-Hui Zhou, Zhong-Dong Xiao, Feng-Tian Chang, and Chang-Le Tian. 2018. A selection methodology of key parts based on the characteristic of carbon emissions for low-carbon design. The International Journal of Advanced Manufacturing Technology 94 (9-12): 3359-3373. doi:10.1007/s00170-017-0522-8.

29. Chao Zhang, Guanghui Zhou, Qi Lu, and Fengtian Chang. 2018. Generating significant subassemblies from 3D assembly models for design reuse. International Journal of Production Research 56 (14): 4744-4761. doi:10.1080/00207543.2018.1465608.

30. Changle Tian, Guanghui Zhou, Fengtian Chang, Junjie Zhang, and Chuang Wang (2018). A low-carbon game-based job scheduling considering material transit. In 15th International Conference on Networking, Sensing and Control (ICNSC2018) (pp. 1-6).

31. Chao Zhang, Guanghui Zhou, Quandong Bai, Qi Lu, and Fengtian Chang (2018). HEKM: A High-End Equipment Knowledge Management System for Supporting Knowledge-Driven Decision-Making in New Product Development. In ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (pp. V01BT02A014-V01BT02A014).

32. Chao Zhang, Guanghui Zhou, Qi Lu, and Fengtian Chang. 2017. Graph-based knowledge reuse for supporting knowledge-driven decision-making in new product development. International Journal of Production Research 55 (23): 7187-7203. doi:10.1080/00207543.2017.1351643.

33. Chang-le TIAN, Guang-hui ZHOU, and Feng-tian CHANG. 2016. A Game-theoretical Approach for Job Shop Scheduling Considering Energy Cost in Service Oriented Manufacturing. DEStech Transactions on Materials Science and Engineering (ammme).

2020~至今 长安大学 机械工程学院