
Through KPIs such as service level stability, recovery time, forecast accuracy under volatility, and inventory exposure. Each KPI captures a different facet of resilience. Service level stability shows whether the operation holds its commitments when demand or supply shifts. Recovery time measures how quickly normal operations resume after a disruption. Forecast accuracy under volatility distinguishes models that hold up in turbulent periods from those that only perform well in stable ones. Inventory exposure quantifies how much working capital is tied to specific risks. Tracking these together gives a far more honest picture than a single resilience score, because the trade-offs between them become visible.