Statistical Inspection
Statistical quality control protocols determine whether an incoming production lot of sensor components meets acceptance criteria without requiring hundred percent inspection. Governed by ISO 2859-1 standards, lot acceptance sampling selects a random sample size based on lot volume and designated inspection levels. The procedure governs lot disposition, sample testing rules and lot rejection thresholds.
It terminates when inspection staff render an accept or reject decision on the evaluated batch.
Sampling Standard
Inspection plans designate single, double or multiple sampling schedules based on statistical risk models. Normal inspection transitions to tightened inspection when consecutive lots fail parametric limit checks during incoming verification. Reduced sampling levels lower inspection costs when historical vendor performance demonstrates consistent quality compliance.
Sample selection requires strict randomization across the entire delivery lot to prevent sampling bias. Test operators inspect physical pin conditions, package integrity and electrical operating parameters on selected sample units using calibrated automated test equipment.
Acceptance Boundary
Acceptable quality limit tables define the maximum allowable percentage of defective units in an accepted production lot. Defect classification codes divide failures into critical, major and minor operational categories. Rejection of a single sample unit under critical criteria leads to immediate lot rejection and supplier notification.
Risk Balancing
Producer risk defines the probability that a conforming component lot will be rejected by chance during random sampling. Consumer risk calculates the likelihood that a non-conforming lot will pass inspection and enter production streams.