Meaning
Statistical decision tables define the minimum cumulative defect thresholds required to transition quality control operations from normal to reduced testing regimes. Within ISO 2859-1 acceptance sampling, limit numbers provide the prerequisite verification gates before lowering sample sizes across subsequent production lots. This metric governs the eligibility for reduced inspection severity, stopping at the point where a single lot failure resets the cumulative defect counter.
Transition Threshold
Published standard tables list specific numerical values based on the accepted quality limit and historical sample volume. When limit numbers are met across ten consecutive lots, the buyer receives statistical justification to switch to reduced sample sizes. Missing a limit threshold forces the inspection program to remain at normal severity levels regardless of vendor reputation.
Protocol Adjustment
Quality auditors compare historical defect logs against published tables during supplier review cycles. Reaching the necessary limit numbers allows companies to reduce sample sizes by up to sixty percent, lowering third-party inspection fees and expediting port shipments. If a defect occurs during reduced inspection, the regime reverts immediately to normal parameters.
Administrative Burden
Sourcing teams must track defect tallies across multiple production runs to maintain accurate transition records. Failing to properly log limit numbers leads to unnecessary testing expenses by keeping qualified vendors on full sampling schedules. Digital quality management systems automate this tracking to ensure seamless transitions between inspection states.