In a production project, the real problem often doesn't appear at the top level. It starts at one specific material line item. Once that item is delayed, the impact can flow into a production order, subsequent steps, and the project deadline.
This use case was built around the need to identify such risk early and trace where it flows.
Production was managed through projects and individual production orders that built on each other. Each project had its own structure and parts were connected via BOM, including the full parent/child hierarchy.
Tracking one item or one production order in isolation wasn't enough. Just as important was the context between the project, the material, the production status, and the follow-on steps.
"Which material will be delayed and block production?" That would lead to follow-up questions: which production order is affected, which project it flows into, and what the next step is.
The foundation was the BOM structure and the parent-child relationship between items, making it possible to trace where a problem originates and what it affects. That then connected to production orders within the project.
We added project context, including ownership and dependencies, so it was possible to connect a material problem to real operational impact. This made it possible to answer not just what's missing, but what gets blocked by it.
The result wasn't an isolated view of a material, a production order, or a project. It was possible to follow the whole chain from a specific item through to production impact.
BOM structure, production orders, project context, and how delays chain. Only then was it possible to identify the real problem and how far it had traveled.
Information about one delayed item wasn't enough on its own. Without connections to everything else, the real impact couldn't be determined.