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

ENGGEN 721 Research Methods and Skills

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, Shaoge Zang: "Dynamic Wireless Power Transfer (WPT) Platform System for Industrial 4.0.", August 2018-July 2022
  2. PhD, Zexuan Zhu: "iWindow – Intelligent Machine Window based on Augmented Reality for Machine Tools", March 2018-February 2022, Co-supervisor
  3. Visiting Scholar, Lin Zhao: ''A customization–oriented social manufacturing: review, framework, and key technologies", August 2018-August 2019, Main-supervisor
  4. Visiting Scholar, Jinxiang Pian: "Laminar Cooling Processes Control", July 2018-July 2019, Main-supervisor
  5. PhD, Marwan Gharbia (start on 1 June 2018, funded by the Dean’s Discretionary Doctoral Scholarship, University of Auckland). Robotics in construction. Co-supervisor
  6. PhD, Emmanuel Flores Arriaga: "Cloud Manufacturing in the Context of Industry 4.0", 2021, Co-supervisor
  7. PhD, S.Reza Hamzeh: "Developing an Integrated Framework for Technology Selection and Successful Implementation of INDUSTRY 4.0", 2021, Main-supervisor
  8. PhD, Shohin Aheleroff: "Internet of Things Personalized Products in Industry 4.0", 2021,Main-supervisor
  9. Visiting Scholar, Mr. Hansong Chen: "Application of  linear CCD in manufacture", Oct-Dec 2017
  10. 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
  11. PhD, Tomzik David: "Smart Computer Numerical Controls Based on Real-time Ethernet and STEP-NC", to complete 2021, Co-supervisor 
  12. 2016-2017 Summer Research Scholarship: Wenbo Ge “Big Data Analytics for IoT-enabled Manufacturing”, The University of Auckland, Nov 2016- March 2017, main supervisor
  13. 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)

  • Zhai, Y., Zhong, R. Y., & Huang, G. Q. (2018). Buffer space hedging and coordination in prefabricated construction supply chain management. International Journal of Production Economics, 200, 192-206. 10.1016/j.ijpe.2018.03.014
    URL: http://hdl.handle.net/2292/43042
  • 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
    URL: http://hdl.handle.net/2292/44784
    Other University of Auckland co-authors: Xun Xu, Chao Liu
  • 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
    URL: http://hdl.handle.net/2292/44788
    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
    URL: http://hdl.handle.net/2292/42222
  • 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
    URL: http://hdl.handle.net/2292/43043
    Other University of Auckland co-authors: Xun Xu, Chao Liu
  • Li, Z., Barenji, A. V., Jiang, J., Zhong, R. Y., & Xu, G. (2018). A mechanism for scheduling multi robot intelligent warehouse system face with dynamic demand. Journal of Intelligent Manufacturing10.1007/s10845-018-1459-y
  • Wang, Y., Zhong, R. Y., & Xu, X. (2018). A decision support system for additive manufacturing process selection using a hybrid multiple criteria decision-making method. RAPID PROTOTYPING JOURNAL, 24 (9), 1544-1553. 10.1108/RPJ-01-2018-0002
    Other University of Auckland co-authors: Xun Xu
  • Lu, S., Xu, C., Zhong, R. Y., & Wang, L. (2018). A passive RFID tag-based locating and navigating approach for automated guided vehicle. Computers & Industrial Engineering10.1016/j.cie.2017.12.026

Identifiers

Contact details

Alternative contact

zhongzry@gmail.com

Office hours

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

Primary office location

ENGINEERING BLOCK 2 - Bldg 402
Level 2, Room 200C2
20 SYMONDS ST
NZL
AUCKLAND 1010
New Zealand

Social links

Web links