% of critical SKUs with single source supply
% of critical SKUs with single source supply
it measures a structural vulnerability before a supplier fails. A high index today predicts a production line stop within the next 3-6 months if that single source faces a disruption.
Count of single-source SKUs / Total critical SKUs x 100One row per purchase order line — supplier × material × plant × date; dependency index aggregated to distinct material × supplier combinations per period.
A preview of what's actually built for this KPI — extracted from the real Implementation Pack, not a mockup.
This is the primary ratio the pack's other measures build on — trend, rank, and period-comparison variants, all on Fact_Purchase_Order_Line. Two independently-filtered CALCULATE blocks, not a simple ratio of raw sums.
Fact_Purchase_Order_Line — 8 mandatory columns — commodity key, material key, ...Dim_Commodity — key + nameDim_Material — material_key + material_descriptionDim_Plant — key + nameDim_Supplier — key + nameDim_Date — Auto-generated calendar table — no customer data requiredFull field-by-field data contract, in 4 SQL dialects (SQL Server, Snowflake, Databricks, BigQuery), ships in the pack.
| Target | 0.15 — performance considered compliant at or below this line |
| Warning | 0.35 — amber alert — triggers a review |
Both live in one Excel tab — change them, refresh the report, done. No DAX editing needed.
Everything you need to build Supplier Dependency Index in Power BI — dimensional model, DAX measures, SQL views, and a food-industry demo dataset.