Statistical Procedure
Standardized selection rules governing statistical specimen extraction from bulk production lots define representative unit collection for quality verification. Quality inspectors apply a sampling protocol when auditing incoming fabric rolls or finished garment shipments at factory loading docks. The document establishes exact sample size tables based on total order quantity and acceptable quality limit tiers.
Specimen Selection
Randomization algorithms dictate carton selection across top, middle, and bottom storage pallets during warehouse audits. Extracting swatches from multiple fabric rolls prevents biased evaluation of single production dye lots. Inspectors inspect selected units for dimensional stability and visual weaving flaws.
Systematic coverage guarantees equal selection probability across the entire shipment.
Acceptance Threshold
Statistical decision tables set maximum allowable defect counts for critical and major flaw categories. Exceeding defect allowances triggers lot rejection and requires hundred percent re-inspection by factory personnel. Clear acceptance criteria eliminate subjective disputes between apparel buyers and manufacturing plants.
Inspection records document compliance before release documentation is issued.
Protocol Limitation
Statistical sampling reduces inspection costs but accepts inherent statistical risk of uncollected defective units passing undetected. Small sample sizes drawn from non-uniform production lots lower defect detection rates significantly. Special critical defects like needle fragments demand complete metal detection screening rather than sample verification.