Dr Ray Y Zhong

PhD in Manufacturing Systems Design

Biography

Ray graduated from Department of Industrial and Manufacturing Systems Engineering, The University of Hong Kong (HKU) in 2013. He worked as a post-doctoral fellow (PDF) and research assistant professor (RAP) in HKU before joining University of Auckland (UoA).

Research | Current

  • Internet of Things (IoT)-enabled Manufacturing
  • Big Data Analytics for Manufacturing
  • Advanced Planning and Scheduling
  • Data-driven Food Supply Chain Management

Teaching | Current

MECHENG 236 Design and Manufacturing 2

MECHENG 352 Manufacturing Systems

MECHENG 751 Advanced CAD/CAM/CNC

MECHENG 752 Technology Management (Course Coodinator)

MECHENG 753 Manufacturing Information Systems

Postgraduate supervision

  1. PhD, Tomzik David: "Smart Computer Numerical Controls Based on Real-time Ethernet and STEP-NC", to complete 2021, Co-supervisor 
  2. 2016-2017 Summer Research Scholarship: Wenbo Ge “Big Data Analytics for IoT-enabled Manufacturing”, The University of Auckland, main supervisor
  3. PhD, Yuan Lin: "Implementation of Augmented Reality in Machining Processes", to complete 2020, Co-supervisor

Distinctions/Honours

  • Faculty of Engineering Knowledge Exchange (KE) Award 2015, ‘RFID-Enabled Real-time Ubiquitous Manufacturing Platform’, The University of Hong Kong
  • Young Author Prize in The 15th IFAC/IEEE/IFIP/IFORS Symposium on Information Control Problems in Manufacturing (INCOM 2015)
  • Best Conference Paper in The 2014 IEEE International Conference on Networking, Sensing and Control (ICNSC14)

Areas of expertise

RFID Application

IoT-enabled Systems

Big Data Analytics

Committees/Professional groups/Services

Research Affiliate, CIRP, since 2017

Member, IEEE, USA, since 2014

Member, IIE, USA, since 2013

Member, IET, UK, since 2014

Member ASME, USA, since 2013

Member, LSCM HK, since 2011

Selected publications and creative works (Research Outputs)

  • Lu, S., Xu, C., Zhong, R. Y., & Wang, L. (2017). A RFID-enabled positioning system in automated guided vehicle for smart factories. Journal of Manufacturing Systems, 44, 179-190. 10.1016/j.jmsy.2017.03.009
    URL: http://hdl.handle.net/2292/34739
  • Liu, Y. K., Xu, X., Zhang, L., Wang, L., & Zhong, R. (2017). Workload-based multi-task scheduling in cloud manufacturing. Robotics and Computer-Integrated Manufacturing, 45, 3-20. 10.1016/j.rcim.2016.09.008
    URL: http://hdl.handle.net/2292/32103
    Other University of Auckland co-authors: Xun Xu
  • Zhong, R. Y., Wang, L., & Xu, X. (2017). An IoT-enabled Real-time Machine Status Monitoring Approach for Cloud Manufacturing. Paper presented at 50th CIRP Conference on Manufacturing Systems, Taichung, Taiwan. 3 May - 5 May 2017.
    Other University of Auckland co-authors: Xun Xu
  • Zhong, R. Y., Xu, C., Chen, C., & Huang, G. Q. (2017). Big Data Analytics for Physical Internet-based intelligent manufacturing shop floors. International Journal of Production Research, 55 (9), 2610-2621. 10.1080/00207543.2015.1086037
  • Zhang, Y. F., Zhang, G., Qu, T., Liu, Y., & Zhong, R. (2017). Analytical target cascading for optimal configuration of cloud manufacturing services. Journal of Cleaner Production, 151, 330-343. 10.1016/j.jclepro.2017.03.027
  • Zhong, R., Peng, Y., Xue, F., Fang, J., Zou, W., Luo, H., ... Huang, G. Q. (2017). Prefabricated construction enabled by the Internet-of-Things. Automation in Construction, 76, 59-70. 10.1016/j.autcon.2017.01.006
    URL: http://hdl.handle.net/2292/32891
  • Zhong, R. (2017). Internet of Things (IoT) Enabled Smart Manufacturing for SMEs. Paper presented at Manufacturing and Design for the Future 2017: A National Conference for Innovation in Manufacturing and Design, Auckland. 10 May - 11 May 2017.
    URL: http://hdl.handle.net/2292/34089
  • Sun, J., Fu, Y., Ji, X., & Zhong, R. (2017). Allocation of emission permits using DEA-game-theoretic model. Operational Research, An International Journal10.1007/s12351-016-0289-y