George Q. Huang
University of Hong Kong
469 Papers
2.6K Citations
George Q. Huang is an academic researcher from University of Hong Kong. The author has contributed to research in topics: Supply chain & Computer science. The author has an hindex of 61, co-authored 441 publications. Previous affiliations of George Q. Huang include Jinan University.
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Papers
Multi-domain ubiquitous digital twin model for information management of complex infrastructure systems
TL;DR: In this paper , the authors proposed a Ubiquitous Digital Twins model for the information management of complex infrastructure systems based on Domain-Driven Design, where six domains are deployed in the proposed model with sequential or parallel tuples for shared understanding of overall system framework or specific functional modules.
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Distributed and collaborative proactive tandem location tracking of vehicle products for warehouse operations
TL;DR: The proactive tracking system architecture is presented using iBeacon technology and the conception of distributed gateways to realize tracking efficiency including the accuracy and responsiveness and a real-life industrial case study is provided to verify the feasibility and effectiveness.
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Digital twin-enabled smart industrial systems: recent developments and future perspectives
TL;DR: In this paper, a digital twin refers to a virtual representation of a physical asset or system throughout its lifecycle, and it leverages the Internet of Things (IoT) to facilitate learning.
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A bilevel storage pricing model for outbound containers in a dry port system
TL;DR: In this paper, the storage pricing problem for outbound containers is modeled as a bilevel program and the optimal properties of the proposed model under certain conditions are derived analytically, from which a closed-form solution is obtained.
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Multi-period multi-echelon inventory transportation problem considering stakeholders behavioural tendencies
TL;DR: An inventory transportation problem of manufacturing organization focusing on several stakeholders such as manufacturers, distributors, wholesalers, retailers and customers is addressed and a mathematical formulation based heuristic approach, which comprises of four algorithms, is proposed for solving purpose.
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