張 定 ZHANG DING  2019年香江學者

導師類别：副教授，碩士生導師

畢業專業：機械工程

研究方向：智能制造系統建模與優化、智能車間定制設計、

系統可靠性技術、數字孿生技術

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

辦公地點：廣州大學城太阳成集团tyc234cc工學2号館305室

郵政編碼：510006

籍貫：湖南益陽

個人簡述：

張定，副教授，1988年5月出生，2017年西安交通大學機械工程專業畢業獲工學博士學位，2019年香江學者，太阳成集团tyc234cc碩士生導師。長期從事智能制造系統、系統可靠性方面的相關理論與技術研究，研究興趣集中在智能制造系統建模與優化、車間性能評估及優化、數字孿生技術、制造系統可靠性技術等方面。擔任制造與可靠性領域多個國際期刊（Reliability Engineering & System Safety, Journal of Intelligent Manufacturing, Journal of Manufacturing Systems, Robotics and computer Integrated Manufacturing等）審稿工作。曾獲廣東省技術發明一等獎，香江學者獎等。

講授課程：

《數控技術》、《微機原理及應用》、《工程制圖》、《智能制造系統建模與仿真》

另，參與籌建太阳成集团tyc234cc新專業“智能制造工程”、參與籌建 省部共建精密電子制造裝備與技術國家重點實驗室 等科研與教學工作

工作經曆：

2019.10-2021.10 香港城市大學系統工程與工程管理系，2019香江學者

2017.9-2022.9  太阳成集团tyc234cc  青年百人計劃引進人才

2022-現今   太阳成集团tyc234cc  副教授

科研項目 ：

[1] 國家自然科學青年基金，支持高頻換産的模塊化手機裝配線輕量化重構與脆性調控方法（51805095），24萬，2019-2021，結題，主持

[2] 國家自然科學面上基金，擾動下的離散制造車間動力學建模與彈性調控方法（72271067），45萬，2023-2026，在研，主持

[3] 廣東省國際合作計劃，電子裝配車間智能運維與測試分析優化技術，100萬，2022-2024，在研，校方主持

[4] 香江學者計劃，系統可靠性建模、分析與決策，36萬港币+36萬人民币，2019-2021，結題，主持，合作導師：謝旻教授

[5] 廣東省自然科學基金，小樣本類人學習驅動的生産線定制智能化設計方法，10萬，2019-2022，結題，主持

[6] 校内青年教師培育項目，數字孿生驅動的手機裝配線快速重構方法與技術，10萬，結題，主持

[7] 校内青年百人計劃科研啟動項目，柔性智能車間脆性分析與調控方法研究，10萬，結題，主持

[8] 國家重點研發計劃，面向3C制造産業集聚區域的網絡協同制造集成技術研究與示範（2019YFB1706200），2019.11-2022.11，在研，728萬，項目骨幹

[9] 廣東省重點研發計劃，面向3C行業機器人生産線的智能化三維設計與仿真優化系統（2019B090916002），1000萬，2019.1-2021.12，結題，項目骨幹

[10]廣州市科技計劃項目，柔性智能車間定制設計平台與平行控制系統(201804020092)，200萬，結題，項目骨幹

獲獎情況：

[1] 2019年香江學者獎（1/1），“系統可靠性建模、分析與決策”；

[2] 2020年廣東省技術發明一等獎（12/15），“電子制造柔性産線變型設計與優化關鍵技術及應用”。

代表性論文與專著：

[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] 胡江飛，張定*，劉強，陳勇坤，帶有限緩沖區生産線脆性量化評估，機械設計與制造，2021，08：135-140.（通訊作者）

[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).

主要發明專利：

[1] 張定，陳勇坤，劉強，肖萬餘，曾嘉偉，一種支持高頻換産的手機裝配線，發明專利（ZL2019101564042.0），授權。

[2] 張定，陳勇坤，劉強，程铄，袁濤，一種基于生産損失的多态生産系統重要度分析方法、裝置，發明專利（ZL201811392872.1），授權。

[3] 張定，陳勇坤，劉強，肖萬餘，曾嘉偉，一種基于改進FMEA的生産線可靠性改進分析方法、系統，發明專利（ZL201910549876.4），授權。

[4] 張定，鄧彥鋒，劉強，裴瑜，一種裝配生産線脆性時間窗度量方法與彈性控制系統，發明專利（ZL202011518609.X），授權

[5] 張定，程铄，劉強，陳勇坤，肖萬餘，一種基于數字孿生模型的制造系統故障溯源方法、系統，發明專利（ZL201910564042.0），授權。

[6] 劉強，張定，陳新, 電子産品生産線虛拟換産生産變更方法，2019-5648881，日本發明專利（6892705），授權

[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.