Safety Stock Simulator

Simulates the effect of safety-stock policy changes on service reliability, stockout probability, and working-capital investment under deterministic demand and lead-time assumptions. It is used for policy calibration sessions where teams must test tradeoffs before committing network-wide parameter updates.

Scenario panels compare baseline and candidate settings by SKU class and site profile, quantifying expected changes in fill rate, shortage events, and average inventory value. The simulator highlights diminishing returns zones where additional buffer delivers marginal service improvement at disproportionate capital cost.

Outputs include scenario ranking, break-even thresholds, and recommended policy bands for A/B/C classes, enabling structured policy decisions that are reproducible when assumptions remain fixed.