Yingfeng Zhang mainly focuses on Radio-frequency identification, Manufacturing engineering, Systems engineering, Traceability and Embedded system. His Radio-frequency identification research is multidisciplinary, incorporating elements of Wireless, Engineering management, Advanced manufacturing and Synchronization. Yingfeng Zhang focuses mostly in the field of Advanced manufacturing, narrowing it down to matters related to Work in process and, in some cases, Manufacturing execution system.
His Manufacturing engineering research integrates issues from Physical Internet, Process and Big data. His work in Systems engineering addresses subjects such as Production logistics, which are connected to disciplines such as Cloud computing. Yingfeng Zhang combines subjects such as Scheduling and Service with his study of Computer-integrated manufacturing.
Yingfeng Zhang mainly investigates Manufacturing engineering, Energy consumption, Scheduling, Industrial engineering and Distributed computing. In Manufacturing engineering, he works on issues like Service, which are connected to Software engineering. His research in Energy consumption focuses on subjects like Manufacturing, which are connected to Big data.
His Scheduling study combines topics in areas such as Production planning, Dynamic priority scheduling and Job shop scheduling. His work deals with themes such as Quality and Key, which intersect with Industrial engineering. In his study, Service provider is strongly linked to Cloud computing, which falls under the umbrella field of Distributed computing.
His scientific interests lie mostly in Energy consumption, Manufacturing engineering, Cloud computing, Product lifecycle and Distributed computing. His Energy consumption research incorporates themes from Industrial engineering, Distribution center, Fuel efficiency, Manufacturing and Cyber-physical system. His Industrial engineering research incorporates elements of Quality, Production planning and Key.
In his articles, he combines various disciplines, including Manufacturing engineering and Cleaner production. Service, Big data and Process management are fields of study that intersect with his Product lifecycle research. His studies deal with areas such as Cloud manufacturing, Scheduling, Dynamic priority scheduling and Augmented Lagrangian method as well as Distributed computing.
His primary scientific interests are in Energy consumption, Distributed computing, Cloud computing, Cyber-physical system and Utilization rate. His work carried out in the field of Energy consumption brings together such families of science as Quality, Virtualization, Information technology and Communications system. His studies in Distributed computing integrate themes in fields like Scheduling, Dynamic priority scheduling and Implementation.
His Cloud computing study incorporates themes from Service provider and Engineering management. His study in Cyber-physical system is interdisciplinary in nature, drawing from both Smart environment, Industrial engineering, Performance indicator, Traceability and Key. The Cloud manufacturing study combines topics in areas such as Manufacturing engineering, Task and Augmented Lagrangian method.
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A big data analytics architecture for cleaner manufacturing and maintenance processes of complex products
Yingfeng Zhang;Shan Ren;Yang Liu;Yang Liu;Shubin Si.
Journal of Cleaner Production (2017)
RFID-based wireless manufacturing for real-time management of job shop WIP inventories.
George Q. Huang;YF Zhang;PY Jiang.
RFID-based wireless manufacturing for walking-worker assembly islands with fixed-position layouts
George Q. Huang;Y. F. Zhang;P. Y. Jiang.
Real-time information capturing and integration framework of the internet of manufacturing things
Yingfeng Zhang;Geng Zhang;Junqiang Wang;Shudong Sun.
International Journal of Computer Integrated Manufacturing (2015)
A comprehensive review of big data analytics throughout product lifecycle to support sustainable smart manufacturing: A framework, challenges and future research directions
Shan Ren;Yingfeng Zhang;Yang Liu;Yang Liu;Tomohiko Sakao.
RFID-enabled real-time wireless manufacturing for adaptive assembly planning and control
George Q. Huang;Yingfeng Zhang;X. Chen;Stephen T. Newman.
A framework for Big Data driven product lifecycle management
Yingfeng Zhang;Shan Ren;Yang Liu;Yang Liu;Tomohiko Sakao.
A Framework for Smart Production-Logistics Systems Based on CPS and Industrial IoT
Yingfeng Zhang;Zhengang Guo;Jingxiang Lv;Ying Liu.
IEEE Transactions on Industrial Informatics (2018)
Agent and Cyber-Physical System Based Self-Organizing and Self-Adaptive Intelligent Shopfloor
Yingfeng Zhang;Cheng Qian;Jingxiang Lv;Ying Liu.
IEEE Transactions on Industrial Informatics (2017)
A big data driven analytical framework for energy-intensive manufacturing industries
Yingfeng Zhang;Shuaiyin Ma;Haidong Yang;Jingxiang Lv.
Journal of Cleaner Production (2018)
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