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 Inforamtion Systems

Postgraduate supervision

  1. 2016-2017 Summer Research Scholarship: Wenbo Ge “Big Data Analytics for IoT-enabled Manufacturing”, The University of Auckland, main supervisor
  2. PhD, Yuan Lin: "Implementation of Augmented Reality in Machining Processes", to complete 2020, 

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)

  • 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
  • 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. Y., Li, Z., & Huang, G. (2016). Production lead-time hedging and coordination in prefabricated construction supply chain management. International Journal of Production Research, 1-19. 10.1080/00207543.2016.1231432
  • Lan, S. L., & Zhong, R. Y. (2016). Coordinated development between metropolitan economy and logistics for sustainability. Resources, Conservation and Recycling10.1016/j.resconrec.2016.08.017
  • Lu, S., Xu, C., & Zhong, R. Y. (2016). An Active RFID Tag-Enabled Locating Approach With Multipath Effect Elimination in AGV. IEEE Transactions on Automation Science and Engineering, 13 (3), 1333-1342. 10.1109/TASE.2016.2573595
    URL: http://hdl.handle.net/2292/29590
  • Zhong, R. Y., Gong, H., Xu, C., & Lu, S. (2016). Physical Internet-Enabled Manufacturing Execution System for Intelligent Workshop Production. International Journal of Signal Processing, Image Processing and Pattern Recognition, 9 (6), 121-132. 10.14257/ijsip.2016.9.6.11
    URL: http://hdl.handle.net/2292/29588
  • Chen, C., Pan, S., Wang, Z., & Zhong, R. Y. (2016). Using taxis to collect citywide E-commerce reverse flows: a crowdsourcing solution. International Journal of Production Research, 1-12. 10.1080/00207543.2016.1173258

Identifiers

Contact details

Alternative contact

zhongzry@gmail.com

Social links

Web links