Research on Construction and Application of Supply Chain Trust Knowledge Graph under the Background of Intelligent Manufacturing

Trust relationships in supply chains are vital for manufacturing enterprises in terms of cooperation, risk management, and contract execution, reducing transaction costs, improving collaboration efficiency, and enhancing supply chain stability and risk resilience. Most manufacturing supply chains currently lack trust mechanisms, and their complex, highly interconnected structures hinder the building of trust. The development of intelligent manufacturing endows information systems with cognitive learning capabilities, making knowledge a core factor of productivity. Knowledge graph technology, which represents entity relationships via triples and constructs graph networks, offers a new perspective to address this issue. Thus, this paper constructs a supply chain trust knowledge graph for manufacturing enterprises to enhance inter-enterprise trust and support cost reduction and efficiency improvement in supply chains.

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Published
2025-08-08
DOI
https://doi.org/10.1109/iaeac65194.2025.11166242
Primary Topic
Advanced Graph Neural Networks
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article
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article

Research on Construction and Application of Supply Chain Trust Knowledge Graph under the Background of Intelligent Manufacturing

Ying Zhang, Jianxun Li, Hongmin Zhou, Yanying Shang
Advanced Graph Neural Networks
article

Research on Construction and Application of Supply Chain Trust Knowledge Graph under the Background of Intelligent Manufacturing

Ying Zhang, Jianxun Li, Hongmin Zhou, Yanying Shang
article en

Abstract

Trust relationships in supply chains are vital for manufacturing enterprises in terms of cooperation, risk management, and contract execution, reducing transaction costs, improving collaboration efficiency, and enhancing supply chain stability and risk resilience. Most manufacturing supply chains currently lack trust mechanisms, and their complex, highly interconnected structures hinder the building of trust. The development of intelligent manufacturing endows information systems with cognitive learning capabilities, making knowledge a core factor of productivity. Knowledge graph technology, which represents entity relationships via triples and constructs graph networks, offers a new perspective to address this issue. Thus, this paper constructs a supply chain trust knowledge graph for manufacturing enterprises to enhance inter-enterprise trust and support cost reduction and efficiency improvement in supply chains.

Xi'an University of Technology (CN)
Openalex Percentile: Top 86%
Advanced Graph Neural Networks
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Research on Construction and Application of Supply Chain Trust Knowledge Graph under the Background of Intelligent Manufacturing — Ying Zhang, Jianxun Li, et al. · (2025) | TGRS Research Map | TGRS