His primary areas of investigation include Radio-frequency identification, Scheduling, Big data, Real-time computing and Cloud manufacturing. The study incorporates disciplines such as Prefabrication, Systems engineering, Traceability, Interoperability and Testbed in addition to Radio-frequency identification. His Scheduling study incorporates themes from Advanced planning and scheduling, Production planning and Web service.
His work deals with themes such as Supply chain management and Data science, which intersect with Big data. His Data science research is multidisciplinary, incorporating elements of Integrated logistics support, Smart manufacturing and Data warehouse, Data mining. His biological study spans a wide range of topics, including Manufacturing engineering, Computer-integrated manufacturing and Genetic algorithm scheduling.
Ray Y. Zhong focuses on Radio-frequency identification, Cloud computing, Manufacturing engineering, Big data and Supply chain management. His work carried out in the field of Radio-frequency identification brings together such families of science as Scheduling, Real-time computing, Automated guided vehicle and Traceability. His Cloud computing research includes themes of Cyber-physical system, Systems engineering and Implementation.
His Manufacturing execution system study, which is part of a larger body of work in Manufacturing engineering, is frequently linked to Work, bridging the gap between disciplines. His work focuses on many connections between Big data and other disciplines, such as Data science, that overlap with his field of interest in Smart manufacturing. His Supply chain management study combines topics in areas such as Engineering management and Operations management.
His scientific interests lie mostly in Manufacturing engineering, Cloud computing, Supply chain, Cyber-physical system and Data science. His study in the field of Cloud manufacturing is also linked to topics like Future studies. His Cloud manufacturing study integrates concerns from other disciplines, such as Manufacturing, Advanced manufacturing and Combinatorial auction.
The concepts of his Cyber-physical system study are interwoven with issues in Virtualization, Industrial engineering, Engineering management and Traceability. His Data science research incorporates elements of Data analysis and Big data. His Data-driven research is multidisciplinary, relying on both Quality and Radio-frequency identification.
The scientist’s investigation covers issues in Process management, Service, Big data, Service provider and Cyber-physical system. The Service study combines topics in areas such as Agile software development, Digital transformation, Industry 4.0 and Systems engineering, Reference model. His study looks at the relationship between Big data and fields such as Systems architecture, as well as how they intersect with chemical problems.
His research integrates issues of Virtualization, Information technology and Engineering management in his study of Cyber-physical system. The concepts of his Quality study are interwoven with issues in Radio-frequency identification and Data-driven. Ray Y. Zhong works mostly in the field of Radio-frequency identification, limiting it down to topics relating to Process and, in certain cases, Data science, as a part of the same area of interest.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Intelligent Manufacturing in the Context of Industry 4.0: A Review
Ray Y. Zhong;Xun Xu;Eberhard Klotz;Stephen T. Newman.
RFID-enabled real-time manufacturing execution system for mass-customization production
Ray Y. Zhong;Q. Y. Dai;T. Qu;G. J. Hu.
Big Data for supply chain management in the service and manufacturing sectors
Ray Y. Zhong;Stephen T. Newman;George Q. Huang;Shulin Lan.
A big data approach for logistics trajectory discovery from RFID-enabled production data
Ray Y. Zhong;Ray Y. Zhong;George Q. Huang;Shulin Lan;Q.Y. Dai.
Big Data Analytics for Physical Internet-based intelligent manufacturing shop floors
Ray Y. Zhong;Chen Xu;Chao Chen;George Q. Huang.
Prefabricated construction enabled by the Internet-of-Things
Ray Y. Zhong;Ray Y. Zhong;Yi Peng;Yi Peng;Fan Xue;Ji Fang.
Visualization of RFID-enabled shopfloor logistics Big Data in Cloud Manufacturing
Ray Y. Zhong;Ray Y. Zhong;Shulin Lan;Chen Xu;Qingyun Dai.
Workload-based multi-task scheduling in cloud manufacturing
Yongkui Liu;Xun Xu;Lin Zhang;Long Wang.
E-commerce Logistics in Supply Chain Management: Practice Perspective
Ying Yu;Xin Wang;Ray Y. Zhong;George Q. Huang.
Integrating RFID and BIM technologies for mitigating risks and improving schedule performance of prefabricated house construction
Clyde Zhengdao Li;Ray Y. Zhong;Fan Xue;Gangyan Xu.
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: