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Truong Van Nguyen
Researcher at Brunel University London
Publications - 11
Citations - 664
Truong Van Nguyen is an academic researcher from Brunel University London. The author has contributed to research in topics: Supply chain & Energy consumption. The author has an hindex of 4, co-authored 10 publications receiving 320 citations. Previous affiliations of Truong Van Nguyen include University of Greenwich.
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Big data analytics in supply chain management: A state-of-the-art literature review
TL;DR: A novel classification framework is proposed that provides a full picture of current literature on where and how BDA has been applied within the SCM context and reveals a number of research gaps, which leads to future research directions.
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Forecasting SMEs' credit risk in supply chain finance with an enhanced hybrid ensemble machine learning approach
TL;DR: In this article, the authors proposed an enhanced hybrid ensemble ML approach called RS-MultiBoosting by incorporating two classic ensemble ML approaches, random subspace (RS) and MultiBoosting, to improve the accuracy of forecasting SMEs' credit risk.
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Predicting customer demand for remanufactured products: A data-mining approach
TL;DR: The results suggest that predicting remanufactured product demand is a complex, non-linear problem, and that, by using advanced machine-learning techniques, the proposed approach can predict the product demand with high accuracy.
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A data-driven optimization of large-scale dry port location using the hybrid approach of data mining and complex network theory
TL;DR: The method is validated in a real case study which optimizes a large-scale dry port network in Mainland China in the context of the Belt and Road Initiatives (BRI), and optimal dry port locations include key transportation hubs that closely reflect the real BRI development plan.
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Knowledge mapping of digital twin and physical internet in Supply Chain Management: A systematic literature review
TL;DR: In this article , a bibliometric knowledge mapping approach is used to provide a bird's eye view of the current research status in the physical Internet (PI) and digital twin (DT) area.