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Knowledge graph (KG) is widely applied in various industries, yet its practical application in supply chain risk management (SCRM) remains insufficient. This chapter develops a KG-based risk management framework to boost supply chain (SC) resilience, elaborating the construction steps of the SC-KG for knowledge retrieval, data visualization, risk monitoring, early warning and decision support. A scenario-based SCRM framework is built via SC-KG by considering disruption severity, and for long-term disruptions, product change strategy and dynamically adaptive network design are adopted to maintain SC continuity. A practical SC-KG with over 2.5 million entities and 11 relationship types is developed, whose functional implementation provides guidance for digital SCRM and improves SC management quality.

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A Knowledge Graph-Driven Risk Management Framework

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  • 发表日期：

    2026年

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  • Chen Peng,
  • Hongfeng Wang,
  • Yi Yang,
  • Yong Zhang

摘要

Knowledge graph (KG) is widely applied in various industries, yet its practical application in supply chain risk management (SCRM) remains insufficient. This chapter develops a KG-based risk management framework to boost supply chain (SC) resilience, elaborating the construction steps of the SC-KG for knowledge retrieval, data visualization, risk monitoring, early warning and decision support. A scenario-based SCRM framework is built via SC-KG by considering disruption severity, and for long-term disruptions, product change strategy and dynamically adaptive network design are adopted to maintain SC continuity. A practical SC-KG with over 2.5 million entities and 11 relationship types is developed, whose functional implementation provides guidance for digital SCRM and improves SC management quality.