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 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)

  • 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
  • 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
  • Deng, C. Y., Guo, R. F., Xu, X., Zhong, R., & Yin, Z. Y. (2017). A new high-performance open CNC system and its energy-aware scheduling algorithm. The International Journal of Advanced Manufacturing Technology10.1007/s00170-017-0593-6
    Other University of Auckland co-authors: Xun Xu
  • Chen, C., Pan, S., Wang, Z., & Zhong, R. Y. (2017). Using taxis to collect citywide E-commerce reverse flows: a crowdsourcing solution. International Journal of Production Research, 55 (7), 1833-1844. 10.1080/00207543.2016.1173258
  • Zhong, R., Newman, S. T., Huang, G. Q., & Lan, S. (2016). Big Data for Supply Chain Management in the Service and Manufacturing Sectors: Challenges, Opportunities, and Future Perspectives. Computers and Industrial Engineering, 101, 572-591. 10.1016/j.cie.2016.07.013
    URL: http://hdl.handle.net/2292/31912
  • Wang, M., Zhong, R. Y., Dai, Q., & Huang, G. Q. (2016). A MPN-based scheduling model for IoT-enabled hybrid flow shop manufacturing. Advanced Engineering Informatics, 30 (4), 728-736. 10.1016/j.aei.2016.09.006
    URL: http://hdl.handle.net/2292/31062
  • Zhai, Y., Zhong, R., Li, Z., & Huang, G. Q. (2016). Production lead-time hedging and coordination in prefabricated construction supply chain management. International Journal of Production Research, 55 (14), 3984-4002. 10.1080/00207543.2016.1231432
    URL: http://hdl.handle.net/2292/33346