Statistical Inspection
Sampling schemes provide a mathematical basis for deciding whether to accept or reject a batch of goods based on the inspection of a small portion. Using iso 2859 1 acceptance sampling allows quality managers to set an acceptable quality level that balances the cost of inspection against the risk of defects. This system is the industry standard for final random inspections of finished garments at the factory gate.
Sampling Plan
Tables within the standard dictate the number of items to be picked from a lot based on the total quantity produced. The iso 2859 1 acceptance sampling method defines inspection intensities like normal and tightened which shift based on the recent performance history of the supplier. For a lot of three thousand garments, the table might require the inspection of 125 pieces to represent the entire population.
This statistical approach ensures that the findings are representative of the whole batch without needing to check every single item.
Critical Threshold
Limits for major and minor defects are set before the inspection begins. If the number of defects found exceeds the limit defined by the sampling plan, the entire shipment is rejected for reworking or sorting.
Quality Assurance
Brands use this data to monitor factory performance over time and identify recurring issues in the manufacturing process. Consistent application of these rules protects the brand from receiving sub-standard inventory.
