AQL Sample Size for Lot 4,000 — GII Inspection at AQL 1.0
What this means
For a production lot of 4,000 garments at GII inspection level with an AQL of 1.0 (critical-major boundary defects), ISO 2859-1 requires the buyer's QC inspector to pull 200 garments at random from across the lot. If they find 5 or fewer defects, the entire lot is accepted. 6 or more defects means the lot is rejected — the factory must then sort 100% of the lot, repair defective pieces, and re-present for inspection.
Inspection level note: Default for garment buyer QC — most shipments inspected here.
AQL tier: Strict major defect standard for premium brands.
Accept / reject decision table
| Defects found in sample | Decision |
|---|---|
| 0 defects | ACCEPT |
| 1 defect | ACCEPT |
| 2 defects | ACCEPT |
| 3 defects | ACCEPT |
| 4 defects | ACCEPT |
| 5 defects | ACCEPT |
| 6 defects | REJECT |
| 7 defects | REJECT |
Worked example — your shipment
Suppose your factory has produced 4,000 garments for a buyer who specified GII / AQL 1.0. The buyer's inspector arrives, opens 5-8 cartons at random, and pulls 200 garments across them.
If the inspector finds 5 defects in those 200 garments → lot ACCEPTED, container ships.
If the inspector finds 6 defects → lot REJECTED. You sort 100% of 4,000 pieces, repair, and re-present in 2-3 days.
How this combination compares
This is the GII / AQL 1.0 combination — the critical-major boundary sampling plan for GII inspection. If your buyer's PO sheet specified different parameters, here are the adjacent plans:
FAQ for Lot 4,000 · GII · AQL 1.0
What if I find exactly 5 defects?
5 defects = ACCEPT. The accept number is the maximum number of defects you can have in the sample without rejecting. Exactly at the limit is still acceptable.
What if I find 6 defects?
6 defects = REJECT. The reject number is the lowest defect count that fails the lot. There is no "borderline" — anything ≥ 6 triggers a reject.
Can I argue an inspection where I found 6 defects?
You cannot argue the math — the accept/reject thresholds come from the ISO 2859 statistical tables. What you can argue is the classification of each defect. If the inspector marked something as a Major defect that your buyer's spec sheet calls Minor, push back with the spec sheet in writing.
What's the underlying acceptance probability at AQL 1.0?
ISO 2859-1 plans are calibrated so that lots actually at the AQL value get accepted ~95% of the time. So a lot truly at 1.0% defect rate has a 95% chance of being accepted by this plan. Lots at 2× the AQL get rejected most of the time.
Use this in your own QC software
The same logic is published as a free MIT-licensed package:
$ npm install garment-aql-calculator $ pip install garment-aql-calculator // Node.js const { calculateAQL } = require('garment-aql-calculator'); calculateAQL({ lotSize: 4000, inspectionLevel: 'GII', aql: 1.0 }); // → { codeLetter: 'L', sampleSize: 200, acceptNumber: 5, rejectNumber: 6 }