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
  • Smart Robotics
  • 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, Emmanuel Flores Arriaga: "Cloud Manufacturing in the Context of Industry 4.0", 2021, Co-supervisor
  2. PhD, S.Reza Hamzeh: "Developing an Integrated Framework for Technology Selection and Successful Implementation of INDUSTRY 4.0", 2021, Main-supervisor
  3. PhD, Shohin Aheleroff: "Internet of Things Personalized Products in Industry 4.0", 2021,Main-supervisor
  4. Visiting Scholar, Mr. Hansong Chen: "Application of  linear CCD in manufacture", Oct-Dec 2017
  5. PhD, Wenbo Wang: "Internet of Things-enabled dynamic prediction and proactive improvement method of shop-floor critical production performance", Sep 2017- Sep 2018, Joint Surpervisor
  6. PhD, Tomzik David: "Smart Computer Numerical Controls Based on Real-time Ethernet and STEP-NC", to complete 2021, Co-supervisor 
  7. 2016-2017 Summer Research Scholarship: Wenbo Ge “Big Data Analytics for IoT-enabled Manufacturing”, The University of Auckland, Nov 2016- March 2017, main supervisor
  8. PhD, Yuan Lin: "Implementation of Augmented Reality in Machining Processes", to complete 2020, Co-supervisor

Distinctions/Honours

  • 2018 IJPR Best Paper, "Big Data Analytics for Physical Internet-based intelligent manufacturing shop floor"
  • Best Conference Paper Award, "Analysis of RFID Datasets for Smart Manufacturing Shop Floors", 15th IEEE International Conference on Networking, Sensing and Control
  • Wenbo Ge and Zhong R.Y, Best Student Paper Award, 47th International Conference on Computer & Industrial Engineering (CIE47)
  • New Zealand Chinese Youth Scientist Award (NZCYSA) 2017
  • 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

International Editorial Board Member for International Journal of Computer Integrated Manufacturing (2018-2021)

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)

  • Zheng, P., wang, H., Sang, Z., Zhong, R. Y., Liu, Y., Liu, C., ... Xu, X. (2018). Smart manufacturing systems for Industry 4.0: Conceptual framework, scenarios, and future perspectives. Frontiers of Mechanical Engineering, 13 (2), 137-150. 10.1007/s11465-018-0499-5
    Other University of Auckland co-authors: Xun Xu
  • Jiang, J., Stringer, J., Xu, X., & Zhong, R. Y. (2018). Investigation of printable threshold overhang angle in extrusion-based additive manufacturing for reducing support waste. International Journal of Computer Integrated Manufacturing, 1-9. 10.1080/0951192X.2018.1466398
    Other University of Auckland co-authors: Jingchao Jiang, Xun Xu, Jonathan Stringer
  • Zhong, R. Y., Yang, H., & Huang, G. Q. (2018). Special issue on smart energy efficient manufacturing. International Journal of Computer Integrated Manufacturing, 31 (4-5), 335-336. 10.1080/0951192X.2018.1426880
  • Liu, C., Vengayil, H., Zhong, R. Y., & Xu, X. (2018). A systematic development method for cyber-physical machine tools. Journal of Manufacturing Systems10.1016/j.jmsy.2018.02.001
    Other University of Auckland co-authors: Xun Xu
  • Zhang, G., Zhang, Y., Xu, X., & Zhong, R. Y. (2017). An augmented Lagrangian coordination method for optimal allocation of cloud manufacturing services. Journal of Manufacturing Systems10.1016/j.jmsy.2017.11.008
    Other University of Auckland co-authors: Xun Xu
  • Deng, C. Y., Guo, R. F., Liu, C., Zhong, R., & Xu, X. (2017). Data cleansing for energy-saving: a case of Cyber-Physical Machine Tools health monitoring system. International Journal of Production Research, 1-16. 10.1080/00207543.2017.1394596
    Other University of Auckland co-authors: Xun Xu
  • Zhong, R. Y., Xu, X., Klotz, E., & Newman, S. T. (2017). Intelligent Manufacturing in the Context of Industry 4.0: A Review. Engineering, 3 (5), 616-630. 10.1016/J.ENG.2017.05.015
    Other University of Auckland co-authors: Xun Xu
  • Qin, W., Zhong, R., Dai, H. Y., & Zhuang, Z. L. (2017). An assessment model for RFID impacts on prevention and visibility of inventory inaccuracy presence. Advanced Engineering Informatics, 34, 70-79. 10.1016/j.aei.2017.09.006

Identifiers

Contact details

Alternative contact

zhongzry@gmail.com

Office hours

Office at 401.1016, Level 10 of Engineering Building, 22 Symonds Street, Auckland.

Social links

Web links