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docs: resolve remaining operational skill comments
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@@ -132,7 +132,7 @@ The textbook formula is `SS = Z × σ_d × √(LT + RP)` where Z is the service
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| Intermittent / lumpy (>30% zero-demand periods) | Croston's method or SBA (Syntetos-Boylan Approximation) | Bootstrap simulation on demand intervals | Mean inter-demand interval shifts by >30% |
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| Promotion-driven | Causal regression (baseline + promo lift layer) | Analogous item lift + baseline | Post-promo actuals deviate >40% from forecast |
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| New product (0–12 weeks history) | Analogous item profile with lifecycle curve | Category average with decay toward actual | Own-data WMAPE stabilizes below analogous-based WMAPE |
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| Event-driven (weather, local events) | Regression with external regressors | Manual override with documented rationale | |
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| Event-driven (weather, local events) | Regression with external regressors | Manual override with documented rationale | Re-evaluate when regressor-to-demand correlation falls below 0.6 or event-period forecast error rises >30% for 2 comparable events |
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### Safety Stock Service Level Selection
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