GB/T 16307-2026 Sequential sampling plans for inspection by variables for percent nonconforming(known standard deviation)
GB/T 16307-2026 Sequential sampling plans for inspection by variables for percent nonconforming(known standard deviation)
Basic Information
Scope
This document specifies the sequential sampling inspection plan and procedures for discrete individual products.
The sampling plans in this document are indexed by the manufacturer's risk points and the user's risk points. Therefore, these plans are not only applicable to acceptance sampling, but also to more general statistical hypothesis testing of proportions.
This document provides a sequential evaluation procedure for inspection results. Using this procedure, when the quality of the product batch provided by the manufacturer does not meet the specified requirements, the probability of acceptance is very low, which can prompt the manufacturer to provide products with higher batch quality. At the same time, it protects the user by setting an upper limit on the probability of acceptance of defective batches (or processes).
The sampling plans in this document are designed under the following conditions all being met.
a) The inspection procedures in this document are applicable to continuous series of batches of discrete individual products, that is, all products are provided by the same manufacturer and the same production process. In this case, sampling of a batch is equivalent to sampling of the process. If there are different manufacturers or production processes, this document is applied separately to each manufacturer or production process.
b) Only a single quality characteristic x of the product is considered, and this quality characteristic must be measured on a continuous scale.
c) Measurement errors are negligible relative to the standard deviation of the production process (that is, the standard deviation does not exceed 10% of the process standard deviation).
d) The production process is stable (in a statistically controlled state), the standard deviation of the quality characteristic value x is known, and the quality characteristic value x follows a normal distribution or is approximately normal.