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This interactive visualization presents a hierarchical decomposition of supply chain criticality based on a multi-tier knowledge graph representation. Starting from a focal product at the center, the sunburst expands outward to reveal the full dependency structure of the supply chain, including associated materials and the production facilities involved in their manufacturing processes. The width of segments in the material and factory layers reflects structural vulnerability, computed as a combination of normalized degree and betweenness centrality (0.5 × degree + 0.5 × betweenness). This embeds network topology directly into the visualization, highlighting structurally critical intermediaries and potential bottlenecks within the supply chain.Beyond structural dependencies, the visualization decomposes contextual risk exposure across multiple semantic layers, including major risk domains (environmental, social, governance, energy, and real-time risks), sub-risk categories, intermediate risk nodes, and attribute-level indicators. This enables users to trace how composite risk scores emerge from heterogeneous and multi-dimensional sources.Due to the complexity of real-world supply chain networks, such multi-dimensional relationships cannot be fully interpreted in static representations. This interactive version allows users to explore the data at different levels of granularity, enabling detailed inspection of individual supply chain paths, risk drivers, and uncertainty characteristics.The visualization operationalizes a key contribution of the associated research: transforming aggregated supply chain risk metrics into a traceable, decomposable, and uncertainty-aware representation. It supports both high-level assessment of systemic criticality and in-depth analysis of the underlying contributing factors.