Supply Chain Resilience Analysis With Apache Spark and Neo4j

Supply chains are graphs. Suppliers feed into warehouses, warehouses feed into distribution centers, and distribution centers feed into retailers. When we model them that way — as nodes and relationships rather than rows and columns — we unlock a set of tools that gives us the ability to ask questions about connectivity, paths, and the structural importance of individual nodes.

In this article, we'll build a supply chain, load it into Neo4j via Apache Spark, use NetworkX to identify the most critical nodes in the network, and then simulate a real-world disruption to find alternative routes.