张 定 ZHANG DING  2019年香江学者

导师类别：副教授，硕士生导师

毕业专业：机械工程

研究方向：智能制造系统建模与优化、智能车间定制设计、系统可靠性技术、数字孪生技术

Email：dingzhang361@163.com, zhangding@gdut.edu.cn

办公地点：广州大学城广东工业大学工学2号馆305室

邮政编码：510006

籍贯：湖南益阳

 

个人简述：

张定，副教授，1988年5月出生，2017年西安交通大学机械工程专业毕业获工学博士学位，2019年香江学者，广东工业大学硕士生导师。长期从事智能制造系统、系统可靠性方面的相关理论与技术研究，研究兴趣集中在智能制造系统建模与优化、车间性能评估及优化、数字孪生技术、制造系统可靠性技术等方面。担任制造与可靠性领域多个国际期刊（Reliability Engineering & System Safety, Journal of Intelligent Manufacturing, Journal of Manufacturing Systems, Robotics and computer Integrated Manufacturing等）审稿工作。曾获广东省技术发明一等奖，香江学者奖等。

 

讲授课程：

《数控技术》、《微机原理及应用》、《工程制图》、《智能制造系统建模与仿真》

另，参与筹建广东工业大学机电工程学院新专业“智能制造工程”、参与筹建 省部共建精密电子制造装备与技术国家重点实验室 等科研与教学工作

 

工作经历：

2019.10-2021.10   香港城市大学系统工程与工程管理系，2019香江学者

2017.9-2022.9     广东工业大学机电工程学院  青年百人计划引进人才 

2022-现今        广东工业大学机电工程学院  副教授

 

科研项目 ：

[1] 国家自然科学青年基金，支持高频换产的模块化手机装配线轻量化重构与脆性调控方法（51805095），24万，2019-2021，结题，主持

[2] 国家自然科学面上基金，扰动下的离散制造车间动力学建模与弹性调控方法（72271067），45万，2023-2026，在研，主持

[3] 广东省国际合作计划，电子装配车间智能运维与测试分析优化技术，100万，2022-2024，在研，校方主持

[4] 香江学者计划，系统可靠性建模、分析与决策，36万港币+36万人民币，2019-2021，结题，主持，合作导师：谢旻教授

[5] 广东省自然科学基金，小样本类人学习驱动的生产线定制智能化设计方法，10万，2019-2022，结题，主持

[6] 校内青年教师培育项目，数字孪生驱动的手机装配线快速重构方法与技术，10万，结题，主持

[7] 校内青年百人计划科研启动项目，柔性智能车间脆性分析与调控方法研究，10万，结题，主持

[8] 国家重点研发计划，面向3C制造产业集聚区域的网络协同制造集成技术研究与示范（2019YFB1706200），2019.11-2022.11，在研，728万，项目骨干

[9] 广东省重点研发计划，面向3C行业机器人生产线的智能化三维设计与仿真优化系统（2019B090916002），1000万，2019.1-2021.12，结题，项目骨干

[10] 广州市科技计划项目，柔性智能车间定制设计平台与平行控制系统(201804020092)，200万，结题，项目骨干

 

获奖情况：

[1] 2019年香江学者奖（1/1），“系统可靠性建模、分析与决策”；

[2] 2020年广东省技术发明一等奖（12/15），“电子制造柔性产线变型设计与优化关键技术及应用”。

 

代表性论文与专著：

[1] Zhang D, Xie M, Yan H, Liu Q*, Resilience dynamics modeling and control for a reconfigurable electronic assembly line under spatio-temporal disruptions, Journal of Manufacturing Systems, 2021, 60: 852-863. (SCI: UI6TZ).

[2] Zhang D*, Jiewu Leng, Min Xie, Hong Yan, Qiang Liu*, Digital twin enabled optimal reconfiguration of the semi-automatic electronic assembly line with frequent changeovers, Robotics and Computer Integrated Manufacturing, 2022, 77: 102343. 

[3] Zhang D*, Pei Yu, Liu Q, Vulnerability Evaluation for a Smartphone Digital Twin Workshop under Temporal and Spatial Disruptions, Machines, 2022, 10(9), 752.

[4] Zhang D, Liu Q*, Yan H, Xie M, A matrix analytic approach for Bayesian network modeling and inference of a manufacturing system, Journal of Manufacturing Systems, 2021, 60: 202-213. (SCI: UI8PE).

[5] Zhang D*, Zhang YJ, Yu MR, et al. Reliability evaluation and component importance measure for manufacturing systems based on failure losses[J], Journal of Intelligent Manufacturing, 2017, 28(8) 1859-1869. (SCI: FL2VW).

[6] Fang L, Liu Q, Zhang D*, A digital twin-oriented lightweight approach for 3D assemblies, Machines, 2021, 9, 231. (SCI: WS8LF).

[7] Leng Jiewu, Chen Ziying, Huang Zhiqiang, Zhu Xiaofeng, Su Hongye, Lin Zisheng, Zhang Ding*, Secure Blockchain Middleware for Decentralized IIoT towards Industry 5.0: A Review of Architecture, Enablers, Challenges, and Directions, Machines, 2022, 10(10):858.

[8] Zhang D*, Zhang YJ. Dynamic decision-making for reliability and maintenance analysis of manufacturing systems based on failure effects[J], Enterprise Information Systems, 2017, 11(8): 1228-1242 (SCI: FA3NK).

[9] Zhang D*, Zhang YJ, Yu MR. A machining process oriented modeling approach for reliability optimization of failure-prone manufacturing systems[J], Journal of Engineering Research, 2016, 4(3): 128-143 (SCI: DY6TE).

[10] Zhang D*, Zhang YJ, Yu MR, et al. Reliability defects identification of serial production systems: application to a piston production line[J], Arabian Journal for Science and Engineering, 2014, 39(12): 9113-9125 (SCI: AU4MH).

[11] 胡江飞，张定*，刘强，陈勇坤，带有限缓冲区生产线脆性量化评估，机械设计与制造，2021，08：135-140.（通讯作者）

[12] Zhang D*, Pei Y, Liu Q, Quality-Reliability Coupled Network Modeling and Importance Measure of Multi-Stage Manufacturing Systems via Network Controllability undefinedysis, Frontiers in Mechanical Engineering, 2022, 8: 2297-3079.

[13] Zhang D*, Liu Q, Reliability evaluation of production systems with finite buffers subject to time-dependent and operation-dependent failures, Annals of Operations Research, 2022, Major revision.

[14] Zhang D*, Liu Q, Reconfiguration design, low-carbon operation and maintenance for electronic assembly systems via a stochastic dynamics model, IEEE Transactions on Engineering Management, 2022, Under review.

[15] Zhang D, Zhang YJ, Yu MR. Probabilistic model checking for reliability and safety analysis of a flexible manufacturing cell[C], The Annual European Safety and Reliability Conference, 2013, Amsterdam, Holland (EI: 20142017723023).

[16] Zhang D, Zhang YJ, Gao ZY. Reconfiguration optimization for manufacturing network in terms of reliability analysis[C], IEEE International Conference on Information and Automation, 2015, Lijiang, China (EI: 20161102092986).

[17] Zhang D, Zhang YJ, Yu MR. A simulation method of three-dimensional shape measurement System based on texture mapping and ray-tracing algorithm[C], International Conference on Frontiers of Manufacturing Science and Measuring Technology, 2012, Xi’an, China (EI: 20122015019170).

[18] Zhang D, Zhang YJ. Performance and reliability analysis of the robot centered FMS and its configuration optimization[C], 2nd Annual International Conference on Advanced Materials, Mechanical and Structural Engineering, 2015, Jeju, Korea (ISTP: BG2LC).

[19] Leng JW, Zhang H, Yan DX, Liu Q*, Chen X, and Zhang D. Digital twin-driven manufacturing cyber-physical system for parallel controlling of smart workshop, Journal of Ambient Intelligence and Humanized Computing. 2019, 10(3): 1155-1166.

[20] Leng JW, Yan DX, Liu Q*, Xu KL, Zhao JL, Shi R, Wei LJ, Zhang D, and Chen X. "ManuChain: Combining Permissioned Blockchain with a Holistic Optimization Model as Bi-Level Intelligence for Smart Manufacturing." IEEE Transactions on Systems, Man, and Cybernetics: Systems. 2020, 50(1): 182-192.

[21] Zhang H, Liu Q, Chen X, Zhang D, and Leng JW. A digital twin-based approach for designing and multi-objective optimization of hollow glass production line. IEEE Access. 2017, 5: 26901-26911. (SCI, IF=3.5)

[22] Yu MR, Zhang YJ, Li YL, Zhang D, Adaptive sampling method for inspection planning on CMM for free-form surfaces[J], The International Journal of Advanced Manufacturing Technology, 2013, 67(9): 1967-1975 (SCI:190GB).

[23] Yu MR, Zhang YJ, Chen K, Zhang D, Integration of process planning and scheduling in a real manufacturing environment using a hybrid GA/PSO algorithm[J], The International Journal of Advanced Manufacturing Technology, 2015, 78(1): 583-592 (SCI: CE0SU).

[24] Yu MR, Zhang YJ, Gao JM, Zhang D, Optimal preventive maintenance schedule for single multi-functional machine using a modified reliability-centered method[C], The Annual European Safety and Reliability Conference, 2013, Amsterdam, Holland (EI: 20142017722775).

 

主要发明专利：

[1] 张定，陈勇坤，刘强，肖万余，曾嘉伟，一种支持高频换产的手机装配线，发明专利（ZL2019101564042.0），授权。

[2] 张定，陈勇坤，刘强，程铄，袁涛，一种基于生产损失的多态生产系统重要度分析方法、装置，发明专利（ZL201811392872.1），授权。

[3] 张定，陈勇坤，刘强，肖万余，曾嘉伟，一种基于改进FMEA的生产线可靠性改进分析方法、系统，发明专利（ZL201910549876.4），授权。

[4] 张定，邓彦锋，刘强，裴瑜，一种装配生产线脆性时间窗度量方法与弹性控制系统，发明专利（ZL202011518609.X），授权

[5] 张定，程铄，刘强，陈勇坤，肖万余，一种基于数字孪生模型的制造系统故障溯源方法、系统，发明专利（ZL201910564042.0），授权。

[6] 刘强，张定，陈新, 电子产品生产线虚拟换产生产变更方法，2019-5648881，日本发明专利（6892705），授权

[7] Qiang Liu, Jiewu Leng, Ding Zhang, Xin Chen, WEI, Lijun. Quick customization design method and system for intelligent workshop. PCT/CN2018/109855

[8] Qiang Liu, Ding Zhang, Xin Chen, Jiewu Leng, Hao Zhang. Virtual product switching method for electronic product production line. PCT/CN2018/109848.