Plain-language questions
Ask for first pass yield (FPY) per month, customer or product in the SQL Explorer with AI. The AI writes the SQL, you see the query and run it yourself; the AI only receives metadata.
KPI · Inventory, purchasing and production
First pass yield (FPY) is the percentage of units that pass through a process right first time, with no rework or scrap. It exposes how much hidden extra work a process contains. Products that end up good after rework do not count towards FPY.
Units right first time ÷ total units entering the process × 100%
In April 2026, 20,000 units went through assembly at Acme Groothandel. Of these, 18,600 were right first time, 900 were good after rework and 500 were scrapped. First pass yield is 18,600 ÷ 20,000 × 100% = 93.0%.
Fictitious figures for Acme Groothandel, a sample wholesaler.
A higher FPY means less rework, less waiting and a more predictable process. The gap between FPY and the share of units that end up good shows how much repair work is going on. Compare by product and process step with your own earlier periods; across several steps, multiply the FPY of each step to get rolled throughput yield.
SQL & DAX
Two examples on a fictitious data warehouse for Acme Groothandel: a PostgreSQL query and a measure for a Power BI model. Adjust table and column names to your own model.
SELECT date_trunc('month', finished_at) AS month,
SUM(good_qty + scrap_qty) AS units_processed,
SUM(first_pass_qty) AS first_pass_units,
ROUND(100.0 * SUM(first_pass_qty) / NULLIF(SUM(good_qty + scrap_qty), 0), 1) AS first_pass_yield_pct
FROM production_orders
WHERE finished_at IS NOT NULL
GROUP BY 1
ORDER BY 1;Units Processed = SUM(Production[GoodQty]) + SUM(Production[ScrapQty])
First Pass Yield = DIVIDE(SUM(Production[FirstPassQty]), [Units Processed])In ENABLE
Ask for first pass yield (FPY) per month, customer or product in the SQL Explorer with AI. The AI writes the SQL, you see the query and run it yourself; the AI only receives metadata.
Define the KPI as a measure in your Power BI model and show it in the portal, with "Last refreshed" next to it. Access profiles and optional row-level security decide who sees which figures.
Add the KPI as a tile to a custom dashboard, compared with last year. The Dashboard Builder is a pilot and can be switched on per client.
With the built-in Targets app you set a target for the KPI per month, so you see actuals and target side by side.
FAQ
Divide the number of units that passed through the process without rework or scrap by the total number of units that entered it. Multiply by 100 for a percentage. Reworked units are left out of the numerator.
First pass yield applies to one process step, or to the whole process treated as one step. Rolled throughput yield is the product of the FPY of every step in sequence. Three steps at 95% FPY each give a rolled throughput yield of about 86%.
Rework costs time, capacity and material, even if the customer never notices. A low FPY makes lead times longer and less predictable. Tracking FPY makes those hidden costs visible.
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