G
Geng Zhang
Researcher at Nanyang Technological University
Publications - 19
Citations - 826
Geng Zhang is an academic researcher from Nanyang Technological University. The author has contributed to research in topics: Service provider & Cloud manufacturing. The author has an hindex of 10, co-authored 14 publications receiving 554 citations. Previous affiliations of Geng Zhang include University of Auckland & Northwestern Polytechnical University.
Papers
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Real-time information capturing and integration framework of the internet of manufacturing things
TL;DR: A real-time information capturing and integration architecture of the internet of manufacturing things (IoMT) is presented to provide a new paradigm by extending the techniques of IoT to manufacturing field.
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Research on services encapsulation and virtualization access model of machine for cloud manufacturing
TL;DR: The proposed model and methods will provide the real-time, accurate, value-added and useful manufacturing information for optimal configuration and scheduling of large-scale manufacturing resources in a CMfg environment.
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Edge-cloud orchestration driven industrial smart product-service systems solution design based on CPS and IIoT
TL;DR: This work proposes an edge-cloud orchestration driven solution design based on the cyber-physical systems (CPS) and industrial Internet of Things (IIoT) and can furnish industrial enterprises with meaningful sights in the process of servitization and value co-creation.
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An optimization method for shopfloor material handling based on real-time and multi-source manufacturing data
TL;DR: A dynamical optimization model for shopfloor material handling (DOM-SMH) is designed and the key technologies such as intelligent trolley, real-time information exchange and optimization for material handling tasks are designed and developed.
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Analytical target cascading for optimal configuration of cloud manufacturing services
TL;DR: In this article, an analytical target cascading model for the manufacturing service configuration problem is proposed based on the hierarchical structure of cloud manufacturing system, and the situation when alternative service providers owned autonomous decision rights to configure their respective upstream manufacturing stages is also considered.