Sampling procedures and tables for periodic inspection by attributes (Apply to inspection of process stability)
Some standard content:
ICS 03. 120. 30
National Standard of the People's Republic of China
GB/T2829—2002
Replaces GB/T2829-1987
Sampling procedures and tables for periodic inspection by attributes
(Apply to inspection of process stability)Issued on June 13, 2002
General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China
Implementation on January 1, 2003
GB/T2829—2002
This standard is a revision of GB/T2829-1987 "Sampling procedures and sampling tables for periodic inspection by attributes (Apply to inspection of production process stability)". This standard replaces GB/T2829—1987. Compared with GB/T2829-1987, the major technical changes in this standard are as follows: - The name of the standard is changed to "Periodic Inspection Counting Sampling Procedure and Table (Applicable to the Inspection of Process Stability)". - The standard text is redrafted in accordance with the requirements of GB/T1.1. - In order to facilitate the retrieval of the sample size of the secondary and quintuple sampling plans corresponding to the primary sampling plan, a sample sequence table (Table 1) is added.
- Without affecting the accuracy, the length of the average sample size curve is compressed. This revision has made necessary changes to some terms and operating procedures. This standard is proposed and managed by the National Technical Committee for Standardization of Statistical Methods. The main drafting units of this standard are: Ordnance Engineering College, China Standards Research Center, Institute of Mathematics and Systems Science, Chinese Academy of Sciences, Ordnance Standardization Institute, Lingyun Industrial Co., Ltd. The main drafters of this standard are: Zhang Yuzhu, Ma Yilin, Liu Wen, Zhu Huiming, Cao Shimin, Chang Zhicheng, etc. This standard was first issued in 1982 and revised for the first time in 1987. 334
1 Scope
Periodic inspection sampling procedures and tables
(Applicable to the inspection of process stability) GB/T 2829—2002
This standard specifies the sampling plans and procedures for the first, second and fifth times with the non-conforming quality level (expressed as the percentage of non-conforming products or the number of non-conforming products per hundred units) as the quality indicator. It is applicable to the inspection of process stability. 2 Normative references
The clauses in the following documents become the clauses of this standard through reference in this standard. For all dated referenced documents, all subsequent amendments (excluding errata) or revisions are not applicable to this standard. However, the parties to the agreement based on this standard are encouraged to study whether the latest versions of these documents can be used. For all undated referenced documents, the latest versions are applicable to this standard. GB/T3358.1--1993 Statistical terminology Part 1 General statistical terminology GB/T3358.2--1993 Statistical terminology Part 2 Statistical quality control terminology GB/T2828\) Sampling inspection procedures for attributes Sampling plans for batch inspection based on acceptance quality limit (AQL) (idt ISO2859-1)
3 Terms, definitions and symbols
3.1 Terms and definitions
The terms and definitions established in GB/T3358 and the following terms and definitions apply to this standard. 3.1.1
Unit product
The basic unit divided for the needs of sampling inspection. For example: a single product, a pair of products, a group of products, a component, or a product of a certain length, area, volume, or weight. It may or may not be consistent with the unit product specified for procurement, sales, production, and shipment. 3.1.2
Inspection lot (batch)
A certain number of products or services collected under certain conditions. Note: In this standard, "batch" refers specifically to all unit products manufactured for production finalization inspection, or all unit products manufactured in a specified period during mass production after production finalization inspection.
The number of unit products in the batch.
Sample unit
The unit product selected from the batch for inspection. 1) Under revision (it is a revision of GB/T2828--1987 "Batch Inspection Attribute Sampling Procedure and Sampling Table (Applicable to Continuous Batch Inspection)"), equivalent to ISO2859-1:1999.
GB/T 2829--2002
The total number of sample units.
Sample size
The number of sample units contained in the sample.
Unqualified
The quality characteristics of the unit product do not meet the requirements. Nonconformity is classified by the importance of the quality of the unit product according to the quality characteristics, or by the severity of the nonconformity of the quality characteristics. Generally, nonconformity is divided into: Class A nonconformity, Class B nonconformity, and Class C nonconformity. 3.1.8
Class A nonconformity
The extremely important quality characteristics of the unit product do not meet the requirements, or the quality characteristics of the unit product do not meet the requirements seriously. 3.1.9
Class B nonconformity
The important quality characteristics of the unit product do not meet the requirements, or the quality characteristics of the unit product do not meet the requirements seriously. 3.1.10
Class C nonconformity
The general quality characteristics of the unit product do not meet the requirements, or the quality characteristics of the unit product do not meet the requirements slightly. 3.1.11
Defective products
There is one or more nonconforming unit products. According to the type of nonconformity, it can generally be divided into: Class A nonconformity, Class B nonconformity, and Class C nonconformity.
Class A nonconforming products
There are one or more Class A nonconforming products, and there may also be Class B and/or Class C nonconforming products. 3.1.13
Class B nonconforming products
There are one or more Class B nonconforming products, and there may also be Class C nonconforming products, but not including Class A nonconforming products. 3.1.14
Class C nonconforming products
There are one or more Class C nonconforming products, but not including Class A and Class B nonconforming products. 3.1.15
Percentage of nonconforming products
The total number of all nonconforming products in the batch divided by the batch size, and then multiplied by 100. That is: percentage of nonconforming products = (total number of nonconforming products in the batch/batch) × 1003.1.16
Number of nonconforming products per 100 units
Total number of nonconforming units in the batch divided by the batch, multiplied by 100. That is: number of nonconforming products per 100 units minus (total number of nonconforming units in the batch/batch) × 1003. 1. 17
Batch quality
The quality of a single batch submitted for inspection (expressed as percentage of nonconforming products or number of nonconforming products per 100 units). 336
Unconforming quality level
The lower limit of the batch quality that is considered unacceptable in sampling inspection. 3.1.19
GB/T 2829--2002
The activity of measuring, inspecting, testing, and comparing one or more characteristics with the specified requirements to determine whether a product or process is qualified.
Counting inspection
Inspection to determine whether a unit product is qualified or unqualified, or to calculate the number of unqualified units of products, based on a group or a technical requirement specified in the product technical standard.
Batch inspection
Inspection of each batch in a series of batches. 3.1.22
Periodic inspection
Inspection of samples taken from a batch or several batches that have passed the batch inspection to determine whether the stability of the production process meets the specified requirements within a specified period (specified by time or by the number of unit products manufactured). 3.1.23
Production finalization inspection
Periodic and batch inspection to determine whether a production line can batch-produce products that meet the specified quality requirements. 3.1.24
Batch production inspection
Periodic and batch inspection to determine whether a production line can continue to batch-produce products that meet the specified quality requirements after passing the production finalization inspection.
Qualified judgment number
In attribute acceptance sampling, the maximum number of nonconforming or unqualified products allowed in a sample of a qualified batch. 3.1.26
Nonconforming judgment number
In attribute acceptance sampling, the minimum number of nonconforming or unqualified products not allowed in a sample of a nonconforming batch. 3.1.27
Judgment array
A combination of a qualified judgment number and a nonconforming judgment number or a series of qualified judgment numbers and a series of nonconforming judgment numbers. 3.1.28
Sampling plan
A specific plan that specifies the sample size and related acceptance criteria. 3.1.29
Sampling procedure
The process of using a sampling plan to determine whether a batch is acceptable or not. 3.1.30
Secondary sampling plan
A sampling plan that combines the sample size and the decision array [A, R.]. 337
GB/T 2829---2002
Secondary sampling plan
A sampling plan that combines the first sample size n, the second sample size n2, and the decision array [A1, A2, R1, R,]. 3.1.32
Five-time sampling plan
A sampling plan composed of the sample size series nn2n3n4n and the judgment array [A, A2, A3, A, As, R, R2, R, R, R,.
Discrimination level
The level of ability to judge whether the stability of the production process does not meet the specified requirements. 3.1.34
Acceptance probability
The probability that a batch or process with a given quality level is judged to be qualified when a certain sampling plan is used. 3.1.35
Average sample size
The expected average number of samples to be inspected per batch when a certain sampling plan is used to make a qualified or unqualified decision. 3.1.36
Occupational characteristic curve (OC curve)
For a given sampling plan, a curve that shows the functional relationship between the probability of batch acceptance and the batch quality level. 3.1.37
Average Sample Size Curve (ASN Curve)
For a given sampling plan, a curve that shows the functional relationship between the average sample size and the batch quality level. 3.2 Symbols
N: batch size.
n: sample size.
Note: When it is necessary to distinguish the first sample size, the second sample size, etc., add the full code 1,. respectively. For example, .ns represents the fifth sample size. A. : qualified judgment number.
R. : unqualified judgment number.
Note. When it is necessary to distinguish the second qualified and unqualified judgment numbers, change the full code c and e to 1.. respectively. For example, A represents the second qualified judgment number, R represents the third unqualified judgment number. [A, R]: primary sampling plan judgment array. [A, A2, R,, R,]: secondary sampling plan judgment array. [A, A2A, A, AR, R2, RR, RJ: five sampling scheme decision array. p: batch quality.
P.: batch acceptance probability.
DL: discrimination level.
RQI: unqualified quality level.
ASN: average sample size.
4 Inspection procedure
The inspection procedure specified in this standard is as follows:
a) Specify the inspection cycle;
b) Select test items and form test groups;338
c) Specify test methods and quality characteristics;
d) Specify the classification of non-conformities;
Specify the non-conforming quality level;
Specify the discrimination level;
Select the sampling plan type;
Search the sampling plan;
i) Draw samples;Www.bzxZ.net
Inspect samples;
Judge whether the periodic inspection is qualified or unqualified;
Disposal after periodic inspection.
5 Implementation of inspection
5.1 Provision of inspection cycle
GB/T 2829—2002
In product technical standards or order contracts, the inspection cycle should be appropriately specified based on the approximate duration of the product production process stability, test time and test costs. The inspection cycle is usually specified as one month, two months, three months, half a year or even one year or two years. In the same product technical standard or order contract, different inspection cycles are allowed to be specified for different test groups. In addition, the inspection cycle is allowed to be specified according to the number of products manufactured. 5.2. Selection of test items and composition of test groups In product technical standards or order contracts, test items should be selected based on the actual needs of the product and the possibility of implementation, and these test items should be combined into as few test groups as possible. 5.3 Provision of test methods and quality characteristics
In product technical standards or order contracts, the corresponding test method should be specified for each test item, and the quality characteristics such as technical performance, technical indicators, appearance, etc. should be specified for each sample unit tested. 5.4 Classification of nonconformities
Nonconformities are classified into three categories: A, B and C according to the specific conditions of each test group. Note: If necessary, nonconformities can be classified into more than three categories. In addition, in the case of relatively simple unit products, nonconformities can be classified into two categories, or even no category can be distinguished.
5.5 Provision of nonconformity quality level
In the product technical standards or order contracts, the nonconformity quality level should be determined by negotiation between the user and the manufacturer. In principle, the nonconformity quality level should be specified for each test group. In addition, it can be considered to specify nonconformity quality levels for different categories of nonconformities in the same test group, or to specify nonconformity quality levels between different test groups or between the same nonconformity categories in different test groups. Usually, the nonconformity quality level specified for Class A is lower than the nonconformity quality level specified for Class B, and the nonconformity quality level specified for Class C is higher than the nonconformity quality level specified for Class C. In Tables 2 to 4, the non-conforming quality level less than 100 can be the percentage of non-conforming products or the number of non-conforming products per 100 units. The non-conforming quality level greater than or equal to 100 is only the number of non-conforming products per 100 units. In addition, the non-conforming quality level values given in these tables are priority values. If the specified non-conforming quality level is not a priority value, these tables are not applicable. 5.6 Provision of discrimination level
This standard provides three discrimination levels with different capabilities, among which discrimination level 1 has strong capability, followed by discrimination level I, and then discrimination level I. When the required discrimination power is strong and economically permitted, discrimination level II is adopted. When the required discrimination power is relatively strong, or although the required discrimination power is strong but the economy cannot fully allow it, the discrimination level is adopted; when the required discrimination power is not strong or the economy does not allow the use of the discrimination level positive or sub-positive, the discrimination level I is adopted. In principle, a unified discrimination level is specified for all test groups. In special cases, different discrimination levels can be considered for different test groups.
GB/T 2829—2002
5.7 Selection of sampling scheme types
This standard provides three types of sampling schemes: one-time, two-time and five-time in Tables 2 to 4, Tables 5 to 7 and Tables 8 to 10. For a given set of nonconforming quality levels and discrimination levels, different types of corresponding sampling schemes can be used. Usually, the decision to adopt one of the one-time, two-time and five-time sampling schemes is made based on the comparison of the management costs, average test time and average sample size of various types of corresponding sampling schemes. The average sample size of the five-time sampling scheme is smaller than the average sample size of the corresponding two-time sampling scheme (except for the one corresponding to the judgment array [1, 2]), and the average sample size of the two-time sampling scheme is smaller than the average sample size of the corresponding one-time sampling scheme (see Figures 13 to 29). The average test time of the five-time sampling scheme is greater than the average test time of the corresponding two-time sampling scheme, and the average test time of the two-time sampling scheme is greater than the average test time of the corresponding one-time sampling scheme. In addition, the five-time sampling plan for management costs is higher than the corresponding two-time sampling plan, and the two-time sampling plan is higher than the corresponding one-time sampling plan. However, as long as the specified nonconforming quality level and discrimination level are the same, no matter which type of sampling plan corresponding to this standard is used for inspection, its discrimination of whether the stability of the production process meets the specified requirements is basically the same. 5.8 Retrieval of sampling plan
According to the nonconforming quality level and discrimination level, retrieve the sampling plan in Tables 2 to 10. 5.8.1 Retrieval of one-time sampling plan
Use Tables 2, 3 and 4 to retrieve the one-time sampling plans of discrimination levels 1, I and I respectively. Retrieval method: In the designated sampling plan table, select an appropriate sampling plan from a series of one-time sampling plans determined from top to bottom by the specified nonconforming quality level according to the affordable test cost and the existing capacity of the test equipment. Example 1: In the routine test of a certain electronic component, GB/T2829 is adopted, and RQ1,=30,DL=Ⅱ is specified. Find the primary sampling plan for a certain test group in the routine test.
a) Because DL= is specified, use Table 4 for retrieval. b) In Table 1, a series of primary sampling plans determined from top to bottom by RQL=30: (1) n-6,A,-0,R.=1:
(2) n=12,A.-1,R,- 2;
(3) n- 16,A-2.R. -3;
(4) n- 20.A. -- 3,R --- 4
(5) n 25,A.--4,R-- 5;
(6) n=32A.=6.R,7.
c) According to the test cost that can be afforded and the existing capacity of the test equipment, it is considered that n=12.A. =1,R. =2 is a more appropriate sampling plan for a certain test group in routine tests.
5.8.2 Retrieval of secondary sampling plans
The secondary sampling plans of discrimination levels I, II and II are retrieved using Tables 5, 6 and 7 respectively. Retrieval method: The retrieval can be carried out in the same way as the primary sampling plan. It is also possible to retrieve the secondary sampling plan from the selected primary sampling plan according to the one-to-one correspondence between the primary and secondary sampling plans in Tables 2 and 5, Tables 3 and 6, Tables 4 and 7 (a series of primary and secondary sampling plans determined from top to bottom by the same RQL are one-to-one corresponding). The secondary sampling plan corresponding to the primary sampling plan can also be determined according to the corresponding relationship provided in Table 1. Example 2: Under the same conditions as Example 1, find the secondary sampling plan for the routine test base test group. a) Because DL=1 is specified, use Table 7 for retrieval. b) In Table 7, a series of secondary sampling plans determined from top to bottom by RQL=30 are: (1) n=6,A.=0,R.=1,
(2) n=8,A 0,R,- 2,
n2 - 8,A2- 1,R2 - 2;
(3) m 10.Aj 0.R -- 3.
2-10,A2=3.R2- 4;
1) There is no corresponding secondary plan.
(4) n=12.Ai=1,Ri=3,
n2=12,A2—4,R,=5;
(5) n=16,A=1,R,=5,
n216,A2=5,R2=6,
(6) n=20.Al=3,R,=6,
nz-- 20,Az=7,R2=8.
GB/T 2829--2002
c) If the sampling plan has been selected according to the above conditions: n 12,A. =1,R. 2, then according to the correspondence between the one-time and the two-time sampling scheme, the two-time sampling scheme for a certain test group in routine test can be immediately determined from Table 1 as tn1= n28, A, = 0, R; 2, A2=1, Rz- 2. 5.8.3 Retrieval of five-time sampling scheme
The five-time sampling schemes of discrimination levels 1, 1 and Ⅱ are retrieved using Tables 8, 9 and 10 respectively. Retrieval method: The retrieval can be carried out in the same way as the one-time sampling scheme. It is also possible to retrieve the five-time sampling scheme from the selected one-time sampling scheme according to the one-to-one correspondence between the one-time and five-time sampling schemes in Tables 2 and 8, Tables 3 and 9, Tables 4 and 10 (a series of one-time and five-time sampling schemes determined from top to bottom by the same RQL are one-to-one corresponding). It is also possible to determine the five-time sampling scheme corresponding to the one-time sampling scheme according to the correspondence provided in Table 1. Example 3: Under the same conditions as in Example 1, find the five sampling plans for a test group in a routine test. a) Because DL= is specified, use Table 10 for retrieval. b) In Table 10, a series of five sampling plans determined from top to bottom by RQL=30 are: (1) n-6,A.-0,R,=1,1)
(2) n1=3,A,=#,Ri =2,
n23,A2=#,Rz=2,
n3 - 3,A3 -0.R -* 2,
n3,A=0,R=2,
n5 -3,A; -2,Rs=3,
(3) n=4,A #,Ri=2,
n2=4,A2=0,R2-- 3,
n=4,A,=0.Rs=3,
n, -4,A=1,R, =3,
ns 4+A, - 3,R,-4;
(4) n=5,A,= #,R-3,
n2=5,Az=0,R2-3,
ng-5,As=1,R=4,
n - 5,A =2,R, - 5
ns—5,As-4Rs5;
(5) nt =6,A = #,R,=3,
n2-6,A2=0,R,=4,
n3-6,A3-1,R:-5,
n -6,A,-4,R-6,
n5=6,A5=5.Rs=6;
(6) ni=8,A = #.Ri- 4.
n28,A2=1,R2=6,
n3-8,A3-3,R,-6,
nt=8,A, =6,R,=8.
n5 - 8,A, -- 7,Rs -- 8
Note: Well means that a qualified judgment cannot be made at this time. c) If the one-time sampling plan has been selected according to the above conditions, tn=12,A=1,R. =2; then according to the corresponding relationship between the one-time and five-time sampling plans, the five-time sampling plan for a certain test group in routine tests can be immediately determined from Table 1: n1 = n2 - n = n4-ns = 3, A1 = #, A2= #,As= 0, As = 0,As =2,R 2, R2-2.R,—2,R,—2,R,=3. 1) There is no corresponding five-time plan.
GB/T 2829--2002
Note: The sampling scheme for nonconformity retrieval of different types in the same test group must keep their sample size (or sample size series) consistent. 5.9 Sample Drawing
Samples for periodic inspection shall be drawn from a batch or batches manufactured in this period and qualified by batch inspection. The method of sampling shall ensure that the obtained samples can represent the actual technical level of this period. When convenient, it is best to draw sample units from different times of this period to form the samples for periodic inspection; if it is necessary to draw samples at a fixed time, it is also best to do it after the number of unit products to be manufactured in this period exceeds half.
When using the two-time and five-time sampling schemes, each sample shall be taken at the same time. 5.10 Inspection Samples
All sample units shall be inspected according to the batch inspection items before conducting periodic inspection. If a sample unit is found to be unqualified, it should be replaced by a unit product manufactured normally in this cycle, and this situation should be recorded in the cycle inspection report, but it is not used as a basis for judging whether the cycle inspection is qualified or not.
When conducting a cycle inspection, it should be grouped according to the test item date, test method and sequence specified in the product technical standard or order contract. After the test, each sample unit that has been tested should be inspected one by one according to the technical requirements. Finally, the total number of unqualified products (or unqualified) is accumulated in the test group (when the unqualified is divided into different categories, it should be accumulated separately). 5.11 Judgment of passing or failing the cycle inspection 5.11.1 Judgment method of passing or failing the cycle inspection Based on the sampling plan determined by the unqualified quality level and the discrimination level, the judgment is made using the methods provided in 5.11.2 and 5.11.3. Only when it is judged to be qualified according to all the determined sampling plans, the product represented by the cycle inspection is finally judged to be qualified. Otherwise, the product represented by the cycle inspection is judged to be unqualified. 5.11.2 The situation where the quality of a batch is expressed by the percentage of defective products a) Sub-sampling plan
According to the results of sample inspection, the following rules are used for judgment. If the number of defective products found in the sample is less than or equal to the qualified judgment number, the batch is judged to be qualified; if the number of defective products found in the sample is greater than or equal to the unqualified judgment number, the batch is judged to be unqualified. h) Sub-sampling plan
According to the results of sample inspection, the following rules are used for judgment. If the number of defective products found in the first sample is less than or equal to the first qualified judgment number, the batch is judged to be qualified; if the number of defective products found in the first sample is greater than or equal to the first unqualified judgment number, the batch is judged to be unqualified; if the number of defective products found in the first sample is greater than the second qualified judgment number and less than the first unqualified judgment number, the second sample is drawn for inspection. If the sum of the number of defective products found in the first and second samples is less than or equal to the second qualified judgment number, the batch is judged to be qualified; if the number of defective products found in the first and second samples is greater than or equal to the second qualified judgment number, the batch is judged to be qualified; if the number of defective products found in the first and second samples is greater than or equal to the first unqualified judgment number, the batch is judged to be qualified; if the number of defective products found in the first and second samples is greater than or equal to the first unqualified judgment number, the batch is judged to be qualified.If the sum of the number of defective products found in the two samples is greater than or equal to the second defective determination number, the batch is deemed defective. c) Five-time sampling plan
Based on the results of the sample inspection, the following rules are used for judgment. If the number of defective products found in the first sample is less than or equal to the first defective determination number, the batch is deemed defective; if the number of defective products found in the first sample is greater than or equal to the first defective determination number, the batch is deemed defective; if the number of defective products found in the first sample is greater than the first defective determination number and less than the first defective determination number, the second sample is drawn for inspection. If the sum of the number of defective products found in the first and second samples is less than or equal to the second defective determination number, the batch is deemed defective; if the sum of the number of defective products found in the first and second samples is greater than or equal to the second defective determination number, the batch is deemed defective; if the sum of the number of defective products found in the first and second samples is greater than the second defective determination number and less than the second defective determination number, the third sample is drawn for inspection.
If the sum of the number of unqualified products found in the first to third samples is less than or equal to the third qualified judgment number, the batch is judged to be qualified; if the sum of the number of unqualified products found in the first to third samples is greater than or equal to the third unqualified judgment number, the batch is judged to be unqualified; if the sum of the number of unqualified products found in the first to third samples is greater than the third qualified judgment number and less than the third unqualified judgment number, the fourth sample is selected for inspection.
If the sum of the number of unqualified products found in the first to fourth samples is less than or equal to the fourth qualified judgment number, the batch is judged to be qualified; if the sum of the number of unqualified products found in the first to fourth samples is greater than or equal to the fourth unqualified judgment number, the batch is judged to be unqualified; if the sum of the number of unqualified products found in the first to fourth samples is greater than the fourth qualified judgment number and less than the fourth unqualified judgment number, the fifth sample is selected for inspection.
If the total number of unqualified products found in the first to fifth samples is less than or equal to the fifth qualified judgment number, the batch is judged to be qualified; if the total number of unqualified products found in the first to fifth samples is greater than or equal to the fifth unqualified judgment number, the batch is judged to be unqualified. 5.11.3 In the case of using the number of unqualified products per hundred units to indicate the quality of the batch, except that the word "unqualified" is replaced by "unqualified", the rest of the judgment procedures in 5.11.2 shall apply. 5.12 Disposition after periodic inspection
5.12.1 Relationship between periodic inspection and batch inspection If both periodic inspection and batch inspection are stipulated in the technical standards or order contracts, batch inspection must be carried out on the basis of qualified periodic inspection. For products with relatively stable production processes, batch inspection can be carried out with reference to the periodic inspection results of the previous cycle before the end of the periodic inspection of this cycle, but the periodic inspection results of this cycle must be used as the basis for whether batch inspection can be carried out. This must be clearly stipulated in the product technical standards or order contracts. 5.12.2 Disposal after passing the cycle inspection After the cycle inspection of this cycle passes, the products represented by the cycle inspection can be delivered to the user or temporarily stored in batches after the batch inspection. At the same time, the user is allowed to propose certain additional conditions to the manufacturer for the batch of qualified products on the basis of negotiation. 5.12.3 Disposal after failure of cycle inspection If the cycle inspection of this cycle fails, the quality department of the manufacturer shall seriously investigate the reasons for the failure of the cycle inspection and report to the superior quality department.
If the failure of the cycle inspection is caused by a malfunction of the test equipment or an operational error, the side is allowed to re-perform the cycle inspection; if the reasons for the failure of the cycle inspection can be corrected immediately, the products manufactured after the correction of the reasons for the failure are allowed to be tested for cycle inspection; if the products that fail the cycle inspection can be eliminated or repaired by screening methods, the products that have been screened or repaired are allowed to be tested for cycle inspection. If the failure of the periodic inspection does not fall into the above situation, the product represented by it should be suspended from batch inspection, and the products in the batch inspection qualified database should be stopped from being delivered to the user. In principle, all the products delivered to the user should be returned to the manufacturer or the two parties should negotiate to resolve the problem. At the same time, the normal batch production of the product represented by the periodic inspection should be temporarily stopped. Only under the supervision of the superior quality department, the products manufactured after taking corrective measures can be resumed after passing the periodic inspection. If the manufacturer fails to take effective corrective measures to make the periodic inspection qualified within the specified time (specified in the product technical standards or order contract), the superior quality department should revoke the manufacturer's production qualification license. After the manufacturer has taken effective corrective or improvement measures, it can reapply for the production qualification license from the superior quality department and handle the procedures according to the simplified procedures. 5.12.4 The disposal method of sample units after periodic inspection must strictly distinguish between sample units that have been periodically inspected and unit products that have not been periodically inspected. In the case of qualified periodic inspection, even if the sample units that have passed the periodic inspection are qualified products according to the technical requirements, they cannot be delivered to the user as qualified products that meet the product technical standards or order contracts. In special cases, it is allowed to refurbish the unit products that have passed the periodic inspection, and only after obtaining the approval of the user can they be delivered to the user. However, it must be noted that the product has undergone periodic inspection. 5.12.5 Special cases for periodic inspection When the product stops production for more than one cycle and resumes production, or when the design, structure, process, and material of the product have major changes, periodic inspection must be carried out. Only when the periodic inspection is qualified can normal batch production and batch inspection be carried out. 6 Random inspection characteristic curve and average sample size curve 6.1 Random inspection characteristic curve (OC curve) Figures 1 to 12 of this standard use a single sampling plan to determine the array [A, R]. ］ is the order of the sampling characteristic curves of the single sampling schemes of the design values corresponding to the three discrimination levels based on Poisson distribution. At the same time, the sampling characteristic curves of the sampling characteristic curves of the second and fifth sampling schemes of the design values are basically consistent with the sampling characteristic curves of the corresponding single sampling schemes of the design values. The horizontal coordinates of the sampling characteristic curves given in this standard are all based on the ratio of batch quality p to RQL. If the horizontal coordinate value is multiplied by RQL, the sampling characteristic curve of a sampling scheme with P as the horizontal coordinate can be obtained. The sampling characteristic curves of the single sampling schemes in Tables 2 to 4 of this standard obtained by the above method are almost consistent with the sampling characteristic curves of the single sampling schemes based on Poisson distribution in Tables 2 to 4. At the same time, the sampling characteristic curves of the second and fifth sampling schemes based on Poisson distribution in Tables 5 and 10 are basically consistent with the sampling characteristic curves of the corresponding single sampling schemes based on Poisson distribution. 6.2 Average sample size curve (ASN curve) Figures 13 to 29 of this standard are based on the single sampling scheme judgment array [A. , R is in order, and based on Poisson distribution, the average sample size curves of the secondary and quintuple sampling plans of the design values corresponding to the single sampling plan of the design values are given on the same graph. The horizontal coordinates of the average sample size curves given in this standard are all based on the product of the sample size n of the single sampling plan of the design value and the batch quality P. If the horizontal coordinate value is divided by the sample size n of a certain single sampling plan, the horizontal coordinate p can be obtained, and the average sample size curves of the secondary and quintuple sampling plans corresponding to the single sampling plan are obtained. The average sample size curves of the secondary and quintuple sampling plans in Tables 5 to 10 corresponding to a certain single sampling plan in Tables 2 to 4 of this standard obtained by the above method are almost consistent with the average sample size curves of the secondary and quintuple sampling plans in Tables 5 to 10 based on Poisson distribution. Table 1
Sample size sequence
Single sampling plan
Sample size n1
Secondary sampling plan
Sample size n2
Five-time sampling plan
Sample size n5
The relationship between the sample sizes of the single, double and five-time sampling plans Table 6
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11001252 Average Sample Size Curve (ASN Curve) Figures 13 to 29 of this standard use the single sampling plan determination array [A. , R as the order, and give the average sample size curves of the secondary and quintuple sampling plans of the design value corresponding to the single sampling plan of the design value on the same graph based on Poisson distribution. The horizontal coordinates of the average sample size curves given in this standard are all based on the product of the sample size n of the single sampling plan of the design value and the batch quality P. If the horizontal coordinate value is divided by the sample size n of a certain single sampling plan, the horizontal coordinate p can be obtained, and the average sample size curve of the secondary and quintuple sampling plans corresponding to the single sampling plan can be obtained. The average sample size curves of the secondary and quintuple sampling plans in Tables 5 to 10 corresponding to a certain single sampling plan in Tables 2 to 4 of this standard obtained by the above method are almost consistent with the average sample size curves of the secondary and quintuple sampling plans in Tables 5 to 10 based on Poisson distribution. Table 1
Sample size sequence
Single sampling plan
Sample size n1
Secondary sampling plan
Sample size n2
Five-time sampling plan
Sample size n5
The relationship between the sample sizes of the single, double and five-time sampling plans Table 6
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11001252 Average Sample Size Curve (ASN Curve) Figures 13 to 29 of this standard use the single sampling plan determination array [A. , R as the order, and give the average sample size curves of the secondary and quintuple sampling plans of the design value corresponding to the single sampling plan of the design value on the same graph based on Poisson distribution. The horizontal coordinates of the average sample size curves given in this standard are all based on the product of the sample size n of the single sampling plan of the design value and the batch quality P. If the horizontal coordinate value is divided by the sample size n of a certain single sampling plan, the horizontal coordinate p can be obtained, and the average sample size curve of the secondary and quintuple sampling plans corresponding to the single sampling plan can be obtained. The average sample size curves of the secondary and quintuple sampling plans in Tables 5 to 10 corresponding to a certain single sampling plan in Tables 2 to 4 of this standard obtained by the above method are almost consistent with the average sample size curves of the secondary and quintuple sampling plans in Tables 5 to 10 based on Poisson distribution. Table 1
Sample size sequence
Single sampling plan
Sample size n1
Secondary sampling plan
Sample size n2
Five-time sampling plan
Sample size n5
The relationship between the sample sizes of the single, double and five-time sampling plans Table 6
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1100125The batch is judged as unqualified; if the sum of the number of unqualified products found in the first to third samples is greater than the third qualified determination number and less than the third unqualified determination number, the fourth sample is selected for inspection.
If the sum of the number of unqualified products found in the first to fourth samples is less than or equal to the fourth qualified determination number, the batch is judged as qualified; if the sum of the number of unqualified products found in the first to fourth samples is greater than or equal to the fourth unqualified determination number, the batch is judged as unqualified; if the sum of the number of unqualified products found in the first to fourth samples is greater than the fourth qualified determination number and less than the fourth unqualified determination number, the fifth sample is selected for inspection.
If the sum of the number of unqualified products found in the first to fifth samples is less than or equal to the fifth qualified determination number, the batch is judged as qualified; if the sum of the number of unqualified products found in the first to fifth samples is greater than or equal to the fifth unqualified determination number, the batch is judged as unqualified. 5.11.3 Where the number of unqualified products per 100 units is used to indicate the batch quality, the judgment procedure in 5.11.2 shall apply except that the word "unqualified" shall be used instead of "unqualified product". 5.12 Disposal after periodic inspection
5.12.1 Relationship between periodic inspection and batch inspection If periodic inspection and batch inspection are stipulated in the technical standards or order contracts at the same time, batch inspection can only be carried out on the basis of qualified periodic inspection. For products with relatively stable production processes, batch inspection can be carried out with reference to the periodic inspection results of the previous cycle before the end of the periodic inspection of the current cycle, but the periodic inspection results of the current cycle must be used as the basis for whether batch inspection can be carried out. This must be clearly stipulated in the product technical standards or order contracts. 5.12.2 Disposal after qualified periodic inspection After the periodic inspection of the current cycle is qualified, the batch of products represented by the periodic inspection that has passed the batch inspection can be delivered to the user or temporarily stored in the warehouse in batches. At the same time, the user is allowed to propose certain additional conditions to the manufacturer for the qualified batch of products on the basis of negotiation. 5.12.3 Disposal method after cycle inspection failure If the cycle inspection of this cycle fails, the quality department of the production party shall seriously investigate the reasons for the failure of the cycle inspection and report to the superior quality department.
If the cycle inspection fails due to a malfunction of the test equipment or an operational error, the side is allowed to re-perform the cycle inspection; if the reasons for the failure of the cycle inspection can be corrected immediately, the products manufactured after the correction of the reasons for the failure are allowed to be inspected for the cycle; if the products that fail the cycle inspection can be eliminated or repaired by screening methods, the products after screening or repair are allowed to be inspected for the cycle. If the cycle inspection failure does not fall into the above situation, the batch inspection of the products it represents shall be suspended, and the products that have passed the batch inspection and are in the warehouse shall be stopped from being delivered to the user. In principle, all the products that have been delivered to the user shall be returned to the production party or the two parties shall negotiate and resolve the problem. At the same time, the normal batch production of the products represented by the cycle inspection shall be temporarily stopped. Only under the supervision of the superior quality department, using the products manufactured after taking corrective measures and passing the cycle inspection, can normal batch production and batch inspection be resumed. If the manufacturer fails to take effective corrective measures to make the product pass the periodic inspection within the specified time (specified in the product technical standards or order contract), the superior quality department shall revoke the manufacturer's production license. After the manufacturer has taken effective corrective or improvement measures, it may reapply to the superior quality department for a production license and may go through the simplified procedures. 5.12.4 The disposal method of sample units after periodic inspection must strictly distinguish between sample units that have undergone periodic inspection and unit products that have not undergone periodic inspection. In the case of passing the periodic inspection, even if the sample units that have undergone periodic inspection are qualified products according to technical requirements, they cannot be delivered to the user as qualified products that meet the product technical standards or order contract. In special circumstances, it is allowed to refurbish unit products that have passed the periodic inspection, and they can only be delivered to the user after the user's approval, but it must be noted that the product has undergone periodic inspection. 5.12.5 Special cases for periodic inspection When a product stops production for more than one period and then resumes production, or when the product design, structure, process, or material undergoes significant changes, periodic inspection must be conducted. Only when the periodic inspection is qualified can normal batch production and batch inspection be conducted. 6 Sampling inspection characteristic curve and average sample size curve 6.1 Sampling inspection characteristic curve (OC curve) Figures 1 to 12 of this standard are based on the sequence of the single sampling plan judgment array [A, R.], and give the sampling inspection characteristic curves of the single sampling plan corresponding to the three discrimination levels on the same figure based on the Poisson distribution. At the same time, the sampling inspection characteristic curves of the design value double and five sampling plans are basically consistent with the sampling inspection characteristic curves of the corresponding design value single sampling plan. The horizontal coordinates of the sampling inspection characteristic curves given in this standard are all based on the ratio of batch quality p to RQL. If the abscissa value is multiplied by RQL, the sampling characteristic curve of a sampling scheme with P as the abscissa can be obtained. The sampling characteristic curves of the single sampling scheme in Tables 2 to 4 of this standard obtained by the above method are almost consistent with the sampling characteristic curves of the single sampling scheme based on Poisson distribution in Tables 2 to 4. At the same time, the sampling characteristic curves of the secondary and quintuple sampling schemes based on Poisson distribution in Tables 5 and 10 are basically consistent with the sampling characteristic curves of the corresponding single sampling schemes based on Poisson distribution. 6.2 Average sample size curve (ASN curve) Figures 13 to 29 of this standard are based on the order of the single sampling scheme judgment array [A., R], and the average sample size curves of the design value secondary and quintuple sampling schemes corresponding to the design value single sampling scheme are given on the same figure based on Poisson distribution. The abscissa of the average sample size curve given in this standard is scaled by the product of the sample size n of the design value single sampling scheme and the batch quality P. If the abscissa value is divided by the sample size n of a single sampling plan, p can be obtained as the abscissa, and the average sample size curve of the secondary and quintuple sampling plans corresponding to the single sampling plan can be obtained. The average sample size curves of the secondary and quintuple sampling plans in Tables 5 to 10 corresponding to a single sampling plan in Tables 2 to 4 of this standard obtained by the above method are almost consistent with the average sample size curves of the secondary and quintuple sampling plans in Tables 5 to 10 based on Poisson distribution. Table 1
Sample size in sequence
Single sampling plan
Sample size n1
Secondary sampling plan
Sample size n2
Five-time sampling plan
Sample size n5
Corresponding table of sample size relationships for the single, secondary and quintuple sampling plans6
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1100125The batch is judged as unqualified; if the sum of the number of unqualified products found in the first to third samples is greater than the third qualified determination number and less than the third unqualified determination number, the fourth sample is selected for inspection.
If the sum of the number of unqualified products found in the first to fourth samples is less than or equal to the fourth qualified determination number, the batch is judged as qualified; if the sum of the number of unqualified products found in the first to fourth samples is greater than or equal to the fourth unqualified determination number, the batch is judged as unqualified; if the sum of the number of unqualified products found in the first to fourth samples is greater than the fourth qualified determination number and less than the fourth unqualified determination number, the fifth sample is selected for inspection.
If the sum of the number of unqualified products found in the first to fifth samples is less than or equal to the fifth qualified determination number, the batch is judged as qualified; if the sum of the number of unqualified products found in the first to fifth samples is greater than or equal to the fifth unqualified determination number, the batch is judged as unqualified. 5.11.3 Where the number of unqualified products per 100 units is used to indicate the batch quality, the judgment procedure in 5.11.2 shall apply except that the word "unqualified" shall be used instead of "unqualified product". 5.12 Disposal after periodic inspection
5.12.1 Relationship between periodic inspection and batch inspection If periodic inspection and batch inspection are stipulated in the technical standards or order contracts at the same time, batch inspection can only be carried out on the basis of qualified periodic inspection. For products with relatively stable production processes, batch inspection can be carried out with reference to the periodic inspection results of the previous cycle before the end of the periodic inspection of the current cycle, but the periodic inspection results of the current cycle must be used as the basis for whether batch inspection can be carried out. This must be clearly stipulated in the product technical standards or order contracts. 5.12.2 Disposal after qualified periodic inspection After the periodic inspection of the current cycle is qualified, the batch of products represented by the periodic inspection that has passed the batch inspection can be delivered to the user or temporarily stored in the warehouse in batches. At the same time, the user is allowed to propose certain additional conditions to the manufacturer for the qualified batch of products on the basis of negotiation. 5.12.3 Disposal method after cycle inspection failure If the cycle inspection of this cycle fails, the quality department of the production party shall seriously investigate the reasons for the failure of the cycle inspection and report to the superior quality department.
If the cycle inspection fails due to a malfunction of the test equipment or an operational error, the side is allowed to re-perform the cycle inspection; if the reasons for the failure of the cycle inspection can be corrected immediately, the products manufactured after the correction of the reasons for the failure are allowed to be inspected for the cycle; if the products that fail the cycle inspection can be eliminated or repaired by screening methods, the products after screening or repair are allowed to be inspected for the cycle. If the cycle inspection failure does not fall into the above situation, the batch inspection of the products it represents shall be suspended, and the products that have passed the batch inspection and are in the warehouse shall be stopped from being delivered to the user. In principle, all the products that have been delivered to the user shall be returned to the production party or the two parties shall negotiate and resolve the problem. At the same time, the normal batch production of the products represented by the cycle inspection shall be temporarily stopped. Only under the supervision of the superior quality department, using the products manufactured after taking corrective measures and passing the cycle inspection, can normal batch production and batch inspection be resumed. If the manufacturer fails to take effective corrective measures to make the product pass the periodic inspection within the specified time (specified in the product technical standards or order contract), the superior quality department shall revoke the manufacturer's production license. After the manufacturer has taken effective corrective or improvement measures, it may reapply to the superior quality department for a production license and may go through the simplified procedures. 5.12.4 The disposal method of sample units after periodic inspection must strictly distinguish between sample units that have undergone periodic inspection and unit products that have not undergone periodic inspection. In the case of passing the periodic inspection, even if the sample units that have undergone periodic inspection are qualified products according to technical requirements, they cannot be delivered to the user as qualified products that meet the product technical standards or order contract. In special circumstances, it is allowed to refurbish unit products that have passed the periodic inspection, and they can only be delivered to the user after the user's approval, but it must be noted that the product has undergone periodic inspection. 5.12.5 Special cases for periodic inspection When a product stops production for more than one period and then resumes production, or when the product design, structure, process, or material undergoes significant changes, periodic inspection must be conducted. Only when the periodic inspection is qualified can normal batch production and batch inspection be conducted. 6 Sampling inspection characteristic curve and average sample size curve 6.1 Sampling inspection characteristic curve (OC curve) Figures 1 to 12 of this standard are based on the sequence of the single sampling plan judgment array [A, R.], and give the sampling inspection characteristic curves of the single sampling plan corresponding to the three discrimination levels on the same figure based on the Poisson distribution. At the same time, the sampling inspection characteristic curves of the design value double and five sampling plans are basically consistent with the sampling inspection characteristic curves of the corresponding design value single sampling plan. The horizontal coordinates of the sampling inspection characteristic curves given in this standard are all based on the ratio of batch quality p to RQL. If the abscissa value is multiplied by RQL, the sampling characteristic curve of a sampling scheme with P as the abscissa can be obtained. The sampling characteristic curves of the single sampling scheme in Tables 2 to 4 of this standard obtained by the above method are almost consistent with the sampling characteristic curves of the single sampling scheme based on Poisson distribution in Tables 2 to 4. At the same time, the sampling characteristic curves of the secondary and quintuple sampling schemes based on Poisson distribution in Tables 5 and 10 are basically consistent with the sampling characteristic curves of the corresponding single sampling schemes based on Poisson distribution. 6.2 Average sample size curve (ASN curve) Figures 13 to 29 of this standard are based on the order of the single sampling scheme judgment array [A., R], and the average sample size curves of the design value secondary and quintuple sampling schemes corresponding to the design value single sampling scheme are given on the same figure based on Poisson distribution. The abscissa of the average sample size curve given in this standard is scaled by the product of the sample size n of the design value single sampling scheme and the batch quality P. If the abscissa value is divided by the sample size n of a single sampling plan, p can be obtained as the abscissa, and the average sample size curve of the secondary and quintuple sampling plans corresponding to the single sampling plan can be obtained. The average sample size curves of the secondary and quintuple sampling plans in Tables 5 to 10 corresponding to a single sampling plan in Tables 2 to 4 of this standard obtained by the above method are almost consistent with the average sample size curves of the secondary and quintuple sampling plans in Tables 5 to 10 based on Poisson distribution. Table 1
Sample size in sequence
Single sampling plan
Sample size n1
Secondary sampling plan
Sample size n2
Five-time sampling plan
Sample size n5
Corresponding table of sample size relationships for the single, secondary and quintuple sampling plans6
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11001253. Disposal methods after cycle inspection failure If the cycle inspection of this cycle fails, the quality department of the production party shall seriously investigate the reasons for the failure of the cycle inspection and report to the superior quality department.
If the cycle inspection fails due to a malfunction of the test equipment or an operational error, the side is allowed to re-perform the cycle inspection; if the reasons for the failure of the cycle inspection can be corrected immediately, the products manufactured after the correction of the reasons for the failure are allowed to be inspected for the cycle; if the products that fail the cycle inspection can be eliminated or repaired by screening methods, the products after screening or repair are allowed to be inspected for the cycle. If the cycle inspection failure does not fall into the above situation, the batch inspection of the products it represents shall be suspended, and the products that have passed the batch inspection and are in the warehouse shall be stopped from being delivered to the user. In principle, all the products that have been delivered to the user shall be returned to the production party or the two parties shall negotiate and resolve the problem. At the same time, the normal batch production of the products represented by the cycle inspection shall be temporarily stopped. Only under the supervision of the superior quality department, using the products manufactured after taking corrective measures, and passing the cycle inspection, can normal batch production and batch inspection be resumed. If the manufacturer fails to take effective corrective measures to make the product pass the periodic inspection within the specified time (specified in the product technical standards or order contract), the superior quality department shall revoke the manufacturer's production license. After the manufacturer has taken effective corrective or improvement measures, it may reapply to the superior quality department for a production license and may go through the simplified procedures. 5.12.4 The disposal method of sample units after periodic inspection must strictly distinguish between sample units that have undergone periodic inspection and unit products that have not undergone periodic inspection. In the case of passing the periodic inspection, even if the sample units that have undergone periodic inspection are qualified products according to technical requirements, they cannot be delivered to the user as qualified products that meet the product technical standards or order contract. In special circumstances, it is allowed to refurbish unit products that have passed the periodic inspection, and they can only be delivered to the user after the user's approval, but it must be noted that the product has undergone periodic inspection. 5.12.5 Special cases for periodic inspection When a product stops production for more than one period and then resumes production, or when the product design, structure, process, or material undergoes significant changes, periodic inspection must be conducted. Only when the periodic inspection is qualified can normal batch production and batch inspection be conducted. 6 Sampling inspection characteristic curve and average sample size curve 6.1 Sampling inspection characteristic curve (OC curve) Figures 1 to 12 of this standard are based on the sequence of the single sampling plan judgment array [A, R.], and give the sampling inspection characteristic curves of the single sampling plan corresponding to the three discrimination levels on the same figure based on the Poisson distribution. At the same time, the sampling inspection characteristic curves of the design value double and five sampling plans are basically consistent with the sampling inspection characteristic curves of the corresponding design value single sampling plan. The horizontal coordinates of the sampling inspection characteristic curves given in this standard are all based on the ratio of batch quality p to RQL. If the abscissa value is multiplied by RQL, the sampling characteristic curve of a sampling scheme with P as the abscissa can be obtained. The sampling characteristic curves of the single sampling scheme in Tables 2 to 4 of this standard obtained by the above method are almost consistent with the sampling characteristic curves of the single sampling scheme based on Poisson distribution in Tables 2 to 4. At the same time, the sampling characteristic curves of the secondary and quintuple sampling schemes based on Poisson distribution in Tables 5 and 10 are basically consistent with the sampling characteristic curves of the corresponding single sampling schemes based on Poisson distribution. 6.2 Average sample size curve (ASN curve) Figures 13 to 29 of this standard are based on the order of the single sampling scheme judgment array [A., R], and the average sample size curves of the design value secondary and quintuple sampling schemes corresponding to the design value single sampling scheme are given on the same figure based on Poisson distribution. The abscissa of the average sample size curve given in this standard is scaled by the product of the sample size n of the design value single sampling scheme and the batch quality P. If the abscissa value is divided by the sample size n of a single sampling plan, p can be obtained as the abscissa, and the average sample size curve of the secondary and quintuple sampling plans corresponding to the single sampling plan can be obtained. The average sample size curves of the secondary and quintuple sampling plans in Tables 5 to 10 corresponding to a single sampling plan in Tables 2 to 4 of this standard obtained by the above method are almost consistent with the average sample size curves of the secondary and quintuple sampling plans in Tables 5 to 10 based on Poisson distribution. Table 1
Sample size in sequence
Single sampling plan
Sample size n1
Secondary s
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