Sampling procedures and tables for product quality audit(Apply to inspection by attributes for nonconformities per hundred units)
Some standard content:
National Standard of the People's Republic of China
Sampling procedures and tables for product quality audit (Apply to inspect nonconformities per hundred units)1 Subject content and scope of application
GB/F 14162
This standard specifies the procedure for one-time supervision sampling inspection of the monitoring population with the number of nonconformities per hundred units as the quality indicator. This standard is applicable to the quality supervision department to regularly or irregularly implement quality or supervision sampling inspection on the qualified product population. 2. Reference standards
GE/T 3358 Statistical terms and symbols
L:B/T 4036 Statistical distribution value table
G1109! Statistical treatment and interpretation of data Test for parameters of the distribution GH/T 6583-1S) 8402 Quality: This chapter discusses random sampling methods under the assumption of random numbers 3 Terms and symbols 3.1 Technical definition 3.1.1 Supervisory sampling test A sampling test conducted independently on products by a third party to determine whether a supervisory population has passed the test 3.1.2 Supervisory population The set of products to be monitored 3.1.3 Quality level The limit of the number of unqualified products per unit allowed by the supervisory center 3.1.4 Efficacy of the supervisory sampling test The probability that a supervisory population will be judged as unqualified when the actual quality level of the supervisory population is below the expected level. 3.1.5 Random inspection
Determine whether the supervision population can pass the random inspection based on the inspection results of the samples. 3.1.6 Risk of misjudgment
The probability of judging that a supervision population that can pass the test is failed. 3.1.7 Risk Assessment
The probability of passing the overall assessment of the actual failure to pass the inspection National Bureau of Technical Supervision 1993-03-01 Approved 1993-10-01 Implementation 3.1.8 Nonconformity
GB/T 1416293
The quality characteristics of a unit product do not meet the requirements, which is called nonconformity. Generally, nonconformity is divided into Class A nonconformity, Class B nonconformity and Class C nonconformity according to the importance of the quality characteristics or the severity of the nonconformity of the quality characteristics. 3.1.9 Class A nonconformity
The extremely important quality characteristics of a unit product do not meet the requirements, or the quality characteristics of a unit product do not meet the requirements, which is called Class B nonconformity.
3.1. 10 Class B nonconformity
The unit product's major quality characteristics do not meet the requirements, or the unit product's quality characteristics seriously do not meet the requirements, which is called Class B nonconformity.
3.1.11 Class C nonconformity
The unit product's general quality characteristics do not meet the requirements, or the unit product's quality characteristics slightly do not meet the requirements, which is called Class C nonconformity.
3.7.12 Inspection level
The corresponding relationship between the sample size and inspection power in the supervisory sampling inspection. 3.1.13 Failure judgment number
The minimum number of failures allowed in the sample when the monitoring population is judged as unacceptable 3.1.14 Monitoring sampling plan
The combination of sample size and failure judgment number is called the blue supervision sampling plan. 3.2 Probability of passing the monitoring sample plan
" Failure judgment number
False judgment Risk
Risk of missed judgment
Procedure of supervision inspection
The inspection procedure specified in this standard is as follows:
Determine the supervision population;
Determine the quality characteristics of the unit product
Determine the classification of the individual;
Determine the supervision quality level;
Specify the inspection level:
Search for the supervision sampling plan;
Draw samples;
Inspect the samples:
Judge whether the supervision population can pass.
5 Implementation of supervision sampling inspection
5. 1 Determine the supervision population
GB/T14162-93
It can also be products produced by different manufacturers, different models, and different production cycles. 5.2 Determine the quality of the unit product
Make clear provisions for the quality characteristics of the unit product such as technical performance, technical indicators, safety, and hygiene indicators. 5.3 Classification of non-conformities
According to actual needs, non-conformities shall be classified into three categories: A, B and C. If necessary, non-conformities may be classified into more than 13 categories. In the case of relatively simple unit products, non-conformities may be classified into two categories, or even no classification. 5.4 Specifying the quality level of supervision
Specifying the quality level of supervision according to the needs of supervision. In principle, different supervision quality levels shall be specified according to the classification of non-conformities. The supervision quality level for Class A shall be lower than that for Class B, and the supervision quality level for Class B shall be higher than that for Class B. In addition, supervision quality levels may be specified for part or individual non-conformities of the same category, or for non-conformities of different categories. The supervision quality level values given in Table 1 are priority values. If the supervision quality level of the standard is not a priority value, this table is not applicable. 5.5 Specification of inspection level
Eleven inspection levels are given in Table 1. The higher the inspection level, the greater the cost and the higher the inspection efficiency. Once the inspection level is selected, it shall not be changed during implementation.
5. 6 Determine the supervision sampling plan
In Table 1, read the sample value at the intersection of the row where the inspection level is and the column where the specified supervision quality level is located. The non-pass judgment number is the corresponding value in the first column of the row. If there is an arrow at the intersection, follow the arrow direction to read the first sample size pointed by the arrow, then find the row where this sample size is located and read the corresponding non-pass judgment number in the lower column. 5.7 The ultimate of the sample
The sample should be randomly selected from the supervision population. The GB10111 method and other methods can be used to perform a simple random ladder selection on the entire supervision population. , stratified proportional random sampling or multi-stage sampling and other sampling methods can also be used depending on the situation. 5.8 Inspection of samples
For each inspection item specified in advance, according to the relevant standards and technical requirements, the inspection method and the judgment of whether the sample is qualified or not shall be inspected one by one in the sample, and the number of unqualified samples in the inspected samples shall be counted. Regardless of the type of unqualified, the number of unqualified samples in the sample shall be counted separately.
5.9 Judgment conclusion
The supervision sampling case is determined according to the supervision quality level and the inspection level. According to the results of the sample inspection, if unqualified samples are found in the samples, If the number of unqualified products is not less than the number of products that do not pass the judgment, that is, the supervised population is judged to be unqualified; if the number of unqualified products found in the sample is less than the predetermined number, that is, the supervised population is judged to be passable. When the number of unqualified products under investigation and their corresponding supervisory sampling cases are all judged to be reversible, the supervised population can be finally judged to be passable; otherwise, the supervised population is judged to be unpassable.
For the supervised population that fails the supervision sampling inspection, the follow-up period is called. For products that were not present during the supervision sampling, if there is evidence to prove that they belong to The supervision population (for example, belonging to the same inspection batch) should also be treated as unavoidable. 5.10 Statistical interpretation of the conclusion of the supervision sampling inspection When the sample size of the supervision sampling plan is small, the substitute population judged as passed has a high risk of missing judgment: the quality supervision department is not responsible for confirming the full quality of the supervision sampling inspection. 6 Application examples
Example 1: A supervision sampling inspection is carried out on a certain supervision population. The quality characteristics of the unit products of the supervision population are not classified into categories. The supervision quality level is specified as 15 (%), and the inspection level is II. Find the supervision sampling plan. From Table 1, the supervision sampling plan is: r=2, r=2: that is, 2 samples are randomly selected from the supervision population, and the 2 samples are inspected one by one!
GB/T1416293
Example 2: A supervision sampling inspection is carried out on a certain supervision population. The quality characteristics of unit products in the monitoring population are divided into three categories. The substitute quality levels of Class B and Class (unqualified) are 1.0 (%), 4.0.%) and 10 (%) respectively. The inspection level is 11. The sampling plan for substitutes is obtained from Table 1: 1n—32, r—2 (Class A); n—8, r—2 (Class B); n3, r=2 (Class C:=Class). That is, randomly select 32 samples from the supervised population, send them to test, and if the number of unqualified samples of Class 4A is less than 2; randomly select 8 samples, test them one by one, if the number of unqualified samples of Class 4B is less than 2; randomly select 3 samples, test them one by one, if the number of unqualified samples of Class 4C is less than 2, then the supervised population is judged to be passable; otherwise, it is judged to be unpassable. 7 Passing probability and efficacy of supervised sampling scheme Tables 2 to 4 of this standard give the passing probability of supervised sampling schemes when 1-501 to 15 and (%) 0.10, 0.15, 100F based on Poisson distribution. When is a factor (), the value of the passing probability of the corresponding supervised sampling scheme can be found from them, and 1-L () is the efficacy of the supervised sampling scheme at that time. 993 0
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