2022 - Research.com Engineering and Technology in Sweden Leader Award
2014 - Fellow of the American Society of Mechanical Engineers
His primary areas of investigation include Manufacturing engineering, Cloud computing, Computer-integrated manufacturing, Cloud manufacturing and Machining. His Manufacturing engineering research incorporates elements of Key, Component and Flexibility. The various areas that Lihui Wang examines in his Cloud computing study include Implementation, Service, Systems engineering and Big data.
His study looks at the relationship between Computer-integrated manufacturing and topics such as Distributed manufacturing, which overlap with Job shop scheduling, Multi-agent system, Systems architecture, Signal processing and Interface. Lihui Wang has researched Cloud manufacturing in several fields, including Technical support, Service management, Advanced manufacturing and Engineering management. The study incorporates disciplines such as Control engineering, Variety, Machine tool and Process in addition to Machining.
His primary areas of study are Manufacturing engineering, Machining, Robot, Cloud computing and Cloud manufacturing. His Manufacturing engineering study typically links adjacent topics like Systems engineering. While the research belongs to areas of Systems engineering, Lihui Wang spends his time largely on the problem of Adaptability, intersecting his research to questions surrounding Industrial engineering.
His study explores the link between Machining and topics such as Process that cross with problems in Plan and Block. The Robot study which covers Control engineering that intersects with Simulation. His work on Service expands to the thematically related Cloud computing.
His scientific interests lie mostly in Robot, Human–robot interaction, Manufacturing engineering, Artificial intelligence and Cloud manufacturing. The Robot study combines topics in areas such as Control, Control theory and Key. His research on Human–robot interaction also deals with topics like
His biological study focuses on Smart manufacturing. As part of one scientific family, Lihui Wang deals mainly with the area of Artificial intelligence, narrowing it down to issues related to the Computer vision, and often Block, Function and Focus. His Cloud manufacturing study contributes to a more complete understanding of Cloud computing.
Robot, Human–robot interaction, Distributed computing, Cloud manufacturing and Big data are his primary areas of study. His work in the fields of Robot, such as Workspace, overlaps with other areas such as Pandemic. His work deals with themes such as Industrial robot, Manufacturing engineering, Human–computer interaction, Collision and Flexibility, which intersect with Human–robot interaction.
Lihui Wang combines subjects such as Service and Plan with his study of Distributed computing. His study on Cloud manufacturing is covered under Cloud computing. His Cloud computing research focuses on Upgrade and how it relates to Manufacturing operations.
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.
Current status and advancement of cyber-physical systems in manufacturing
Lihui Wang;Martin Törngren;Mauro Onori.
(2015)
Collaborative conceptual design—state of the art and future trends
Lihui Wang;Weiming Shen;Helen Xie;Joseph Neelamkavil.
(2002)
Cloud-based design and manufacturing
Dazhong Wu;David W. Rosen;Lihui Wang;Dirk Schaefer.
(2015)
Agent-based distributed manufacturing process planning and scheduling: a state-of-the-art survey
Weiming Shen;Lihui Wang;Qi Hao.
(2006)
Reconfigurable manufacturing systems: the state of the art
Z. M. Bi;S. Y. T. Lang;W. Shen;Lihui Wang.
(2008)
Digital Twins and Cyber–Physical Systems toward Smart Manufacturing and Industry 4.0: Correlation and Comparison
Fei Tao;Qinglin Qi;Lihui Wang;A.Y.C. Nee.
(2019)
Cloud-enabled prognosis for manufacturing
Robert Gao;Lihui Wang;Roberto Teti;David Dornfeld.
(2015)
Computer-aided process planning-A critical review of recent developments and future trends
Xun Xu;Lihui Wang;Stephen T. Newman.
(2011)
Enabling technologies and tools for digital twin
Qinglin Qi;Fei Tao;Tianliang Hu;Nabil Anwer.
(2021)
Cloud manufacturing: key characteristics and applications
Lei Ren;Lin Zhang;Lihui Wang;Fei Tao.
(2017)
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