Machine + human
Causal interpretation of delivery risk
Help the planner understand why a feasible date may be unreliable and whether intervention is warranted.
How it works
- The application separates the numerical reliability estimate from the explanation of current process state.
- Repeated mechanism and work-center evidence can indicate a persistent special cause rather than ordinary variation.
- CRM narratives make customer consequence visible, while operational evidence tests whether an emergency claim is corroborated.
- The interpretation determines which questions and alternatives deserve review; it does not fabricate causal certainty.
Judgment and authority
Schedulers and operations managers judge whether the proposed mechanism fits current plant reality and what intervention is practical.
Perception and consistency
The system organizes converging evidence, highlights competing interpretations and preserves uncertainty.
An explainable assessment of plan fragility and a reason to continue, defer or escalate review.