Sampling Plan
Statistical sampling plan that accepts a production lot only when the selected sample contains no non-conforming units. Modern c=0 inspection replaces traditional tables where a small number of failures might still permit lot acceptance. It governs the threshold for risk transfer between a producer and an inspector.
Acceptance Limit
A requirement for zero defects ensures that the producer carries the full burden of process stability. Using c=0 inspection forces a shift away from acceptable quality levels that tolerate marginal errors. Automated assembly lines rely on this rigor to avoid jams.
Mathematical Probability
Calculations for the consumer risk depend on the operating characteristic curve which defines the likelihood of accepting a lot with a specific percent defective. Small sample sizes in c=0 inspection provide less statistical confidence than larger samples but offer a clear binary decision point for quality gates. The method assumes that any single failure indicates a systemic process shift rather than an isolated incident.
This assumption holds until the sample size becomes too small to detect low frequency errors.
Contractual Enforcement
Procurement agreements often specify this plan to minimize the overhead of incoming secondary testing. Validation occurs through periodic audits of the supplier metrology records. If a single defect is found during the check, the entire batch faces rejection and mandatory sorting.