What it measures
% of order lines within agreed lead time
this KPI measures a failure after it has occurred. A late delivery is a past event; the consequences, such as a production line stop or a missed customer shipment, are already in motion by the time the score is calculated.
Business impact
- Increased 'chaos tax' from late deliveries: production schedule breaks, unplanned line changeovers, and overtime labor to catch up on lost output.
- A late delivery of a critical ingredient or packaging material can leave a high-speed production line and its crew idle, creating an unrecoverable loss of capacity and labor cost.
Formula
(On-time order lines / Total order lines) x 100Grain
One row per purchase order line — supplier x material x plant x requested delivery date
Inside the Implementation Pack
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. It guards against missing dates and values with NOT ISBLANK checks.
Fact_Purchase_Order_Line— 8 mandatory columns — qty delivered, plant key, ...Dim_Commodity— key + nameDim_Material— material_key + material_descriptionDim_Plant— key + nameDim_Supplier— key + nameDim_Date— Auto-generated calendar table — no customer data required
Full field-by-field data contract, in 4 SQL dialects (SQL Server, Snowflake, Databricks, BigQuery), ships in the pack.
| Target | 0.95 — performance considered compliant at or above this line |
| Warning | 0.87 — 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 Lead Time Performance in Power BI — dimensional model, DAX measures, SQL views, and a food-industry demo dataset.