Single sampling procedures and tables by attributes for product quality audit
Some standard content:
ICs 03. 120. 30
National Standard of the People's Republic of China
GB/T 14437
Single sampling procedures and tables by allrihutesforproductyualityaudit
Published on May 23, 1997
Implemented on December 1, 1997
Published by the State Bureau of Technical Supervision
CB/TT4437—1997
Cited Standards
Definition, etc.
Procedures for supervision inspection++.+
Implementation of supervision sampling inspection
Overview of the passing rate of the supervision sampling plan Efficiency and efficacy
Analysis of the conclusion of the detailed inspection
A (Appendix of the standard)
Evaluation of the efficacy of the sampling inspection
B (Appendix of the standard)
Normal distribution table
.......
Appendix Appendix of the standard) Table 1 Efficiency of the supervision sampling plan
GR/T14437-1957
Standard defines the oil sampling procedure and sampling plan for the quality inspection of automotive products. This standard refers to the fourth part of the IS0/S35 effective sampling inspection for the identification of the cost of the claimed level of conformity 1. This standard generally modifies the first decision of G1/T14437-3, adds a sampling plan with a detailed quantity of 1, deletes the original book 2, and adds some definitions. This standard is a recommendation of the standard B and the previous standard. This standard was drafted by the China Standardization Information Classification and Coding Institute, the Chinese Academy of Sciences, and the Ministry of Metallurgical Industry.
This standard mainly includes the following: Ren Pai Fan, Ma Yilin, Chu Kuai An Ge, Liu Cheng Ben Ren Liang, 1 Scope
National Standard of the People's Republic of China
Product quality supervision sampling inspection procedures and sampling plans
Siingles and samples and samples by alirilutesfor pruduet quality audit
GB/T14437
Replaces GR/T1448793
This standard specifies the quality supervision sampling inspection of the product population with quality indicators of non-conforming products as the main factor:
This standard is suitable for quality supervision sampling inspection of the product population that has passed the acceptance inspection, and is not suitable for the acceptance inspection of products.
This standard is applied to the situation where the total number of monitored products is no more than 125 and the sample size does not exceed tenth of the total number of products. The risk of misjudgment in this standard is about 0.C5. 2 Referenced standards
The provisions contained in the following standards constitute the text of this standard through reference in this approval. When this standard was published, the versions shown were valid. All standards will be replaced. All parties using this standard should discuss the possibility of using the new version of the effective standard. GB/T3SR.S Statistical spectrum GB4086-53 Statistical distribution table GB48-3 Statistical processing and interpretation of data "Testing of distribution parameters of items GB/6563-1994 Quality management and quality assurance terminology (ISO 9102: 194) G101: 1-R Methods of using random number distribution to follow the machine sampling GB/T15482-1995 Product quality supervision small population single sampling inspection virtual sequence and throwing table 116306-1996 Product quality supervision and sampling table 3 Definition. The technical standard uses the definition in H/T5358.GBT6583 (1d: I508402). 3. 1 3.1.1 Single-piece inspection is an independent inspection conducted by the inspection team on the overall production that has been accepted and is to determine the overall production that can pass the inspection. 3.1.2 Unit product: The basic unit divided for the purpose of implementing random inspection is called unit product. Example: single product; a pair of products: a group of products, a component or a product of a certain length, area, location and weight. It may or may not be consistent with the unit product determined for procurement, sales, production and shipment. It is the total of the unit products under consideration. Approved by the State Bureau of Technical Supervision on May 23, 1997 and implemented on December 1, 1997. 3.1.4 Total unit product: Approved by the State Bureau of Technical Supervision on May 23, 1997 and implemented on December 1, 1997. size
The area of the individual products included in the population
3.1.5 The total number of products that are subject to quality control inspection.
3.1.6 Unit of product
CB/T 14437—1997
The unit product from the sample collected for inspection from the monitoring population, 3.1.7 Sample quantity aizc
The number of samples included in this document.
3.1.8Aanconormity
The quality characteristics do not conform to the current specifications.
According to the importance of the unit product quality characteristics or the severity of the quality characteristics, the nonconformity can be divided into: Class A nonconformity, Class I nonconformity, and Class II nonconformity.
3.1.9ClassA nonconformityofclasA unit product does not conform to the requirements of the quality characteristics of the unit, or the unit product's quality characteristics are extremely non-compliant with the regulations. 3.1.10ClassB nonconformityofuluB unit product's serious quality characteristics do not conform to the regulations, or the unit product's characteristics do not conform to the regulations. 3.1.1T ClassC nonconformityC unit product's general quality characteristics do not conform to the current specifications, or the unit product's quality characteristics are slightly non-compliant with the regulations. 3.1.12 Noncor.forminriccm
If there are six or more unqualified unit products, they are unqualified products. They can be divided into Class A small qualified products and Class C unqualified products.
3.1.13A. nonuor.fotingitemafclassA has one or more unqualified units, and may also be unqualified units of Class A and Class B. 3.1.14 Unqualified units have one or more unqualified units, and may also be unqualified units of Class A, but they do not include unqualified units of Class A. 3.115C nonunqualifiedMnonuntumingiteaef CIAAS has a real one to a category of unqualified products, but does not include color and printing categories will not be qualified for some products, 3.1.16 The non-qualified rate noneusurmingprpurim a certain number of products contained in the case of its total number of products. 3.17 The defective rate oer:JrTrr:ingFropornnirasargle interception technology contains the number of unqualified products divided by the total number of times. 3.1.18 The overall defective rate mururfrrr:ingprtipor1inninapnpulason the number of unqualified products contained in the supervision population divided by the total number of the supervision group. 3.1.19 The overall pressure qualitylrurulation salt consultation total rest of the total forest unqualified product often expressed. 3.1.20 The quality level of supervision i1gl1l
The overall defective rate allowed in the supervision population is the second value: 3.1.21 Supervision sampling login dynamic effect powerf sudi1 When the actual quality level of the monitoring population is more than 30%, the overall supervision rate is 7%, and the overall supervision rate is 3.1.77. The number of supervision inspections can be divided into qualified and unqualified products. The overall supervision report is collected for single inspection. Only the inspection record can be used to make the overall supervision inspection conclusion. 3.1.23 The corresponding relationship between the inspection method and the response effect of the inspection. 3.1.24 The judgment risk (type 1 error probability) is the probability that the sample is actually unqualified. 3.1.25 The judgment risk (type 2 error rate) is the probability that the actual unqualified product can also be judged as unqualified.26 The minimum number of defective products allowed in the column when this is judged as unpassable is the total number of monitored items. 3.7.27 Supervision sampling method: auditsamplicgplan period sampling method and the number of unqualified products in this standard are as follows: 3.2 Supervision sampling method: the number of unqualified products in the overall supervision sample and the number of unqualified products in the overall supervision sample. The actual quality of the overall supervision sample is the second production, and the probability of passing the unqualified product cannot be determined by the remaining number of unqualified products. 4 Supervision inspection procedures: The inspection procedure specified in this standard is as follows: |tt||b) Determine the quality characteristics of individual products!
c) Determine the classification of qualified products:
d: Determine the level of supervision quality;
+) Specify the supervision inspection levels:
Inspection case selection,
g) Take samples:
h: Control inspection sample;
) Determine the frequency of inspection total price;
5 Implementation of sampling inspection
5.1 Determine the inspection population
Determine the inspection population based on the inspection retention requirements. The products in the inspection population can be divided into manufacturers, company models, products produced in the same production cycle, and can be different manufacturers, different quantities, and products produced in different production cycles: the inspection population should be greater than 25G. When the inspection population is not larger than 26, (15 /115482 is the standard of retrograde 5.2 Determine the pressure characteristics and requirements of the unit product. For the technical performance, standard indicators, completeness, production indicators and other characteristics of the single product, clear provisions are made. 5.2 Determine the two categories of qualified products
G/T14437-1997
5.3.1 The classification of unqualified products during the slow inspection shall be consistent with the classification of unqualified products during the acceptance sample inspection. 5.3.2 According to actual needs, unqualified products are generally divided into three categories: Class A, Class B and Class 6. If necessary, more than three categories of unqualified products can be divided. In the case that the unit product is relatively simple, it can also be divided into two categories of different products, or even no categories. 5.4 Determine the quality basis of the monitor
According to the monitor Supervision needs to specify the supervision quality level. In principle, the supervision quality level specified for Class A non-conforming products should be lower than that specified for Class C non-conforming products. The supervision quality level specified for Class A non-conforming products should be lower than that specified for Class C non-conforming products. The supervision quality level specified for Class A non-conforming products should be lower than that specified for Class C non-conforming products. The supervision quality level specified in Table 1 is the same as the level of the sensitivity value. If the specified supervision quality level is not the priority, it will not be used. When the acceptance sampling is specified, the AQ is specified here. 4Q1.
5.5 Determine the inspection level of the inspector
Five inspection levels are given in Table 1. The higher the inspection level, the larger the sample size and the higher the inspection efficiency: once the inspection level is selected, it shall not be activated in the subsequent implementation. 5.6 Inspection sampling plan
In Table 1, the intersection of the column where the inspection level is located and the row where the specified supervision quality level is located, the sampling plan is selected. If there is an arrow at the intersection, a sampling plan for the case indicated by the arrow is selected along the previous direction. When the non-priority value is specified as 5%, the sampling plan (11) can be used. The risk of missed judgment is very high. For any non-priority value listed in Table 1, after determining the sample size, the formula can be used to find the value that makes the value below or to the left close to the integer value of -4. R. Lang is the required non-judgment number. In the formula: u1-
2lVRGe-/(nR.+1pu-U, . \
, is the - quantile of the standard normal distribution. GB/48, when =5 =a5455.7 Drag sample
The sample should be randomly selected from the supervision population, and the sampling method such as GB10111 can be used. 5.8 Inspection sample
For the inspection items specified in advance, the inspection method specified in the relevant standards and technical requirements shall be used to judge whether the product is qualified or not. Each sample in the inspection sample shall be counted to calculate the number of unqualified products in the inspected sample. The number of qualified products is changed to the number of unqualified products of different categories.
5.9 Determine whether the monitoring population is passable
According to the monitoring quality level and the inspection level, determine the monitoring sampling method. According to the detailed inspection results of this specification, if the number of unqualified products found in the sample is not less than the failure judgment number R, that is, R. If the number of unqualified products found in the sample is less than the failure judgment number, R is used to judge that the blue tube population is passable. If the unqualified products are divided into several categories, only when the winter category under investigation is When all the corresponding supervision solutions of the non-conforming products are judged as acceptable, the device will finally judge the monitoring group as acceptable. Otherwise, the monitoring group will be judged as unacceptable. The closed loop analysis can be carried out for each monitoring group that fails the supervision sampling. For products that are not in motion during the supervision sampling, if there is sufficient evidence to prove that they belong to the monitoring group (for example, they belong to the same inspection batch), they can also be treated as unacceptable. 5.10 Application Examples
Example 1: For a certain monitoring group, the supervision level is specified as \·2 . If the level of the monitoring is I, please find the following plan:
From Table 1, we can find that the monitoring sampling plan is R=2.R,=1. That is, randomly select 10 samples from the monitoring population, and inspect these 10 samples. If the number of unqualified products is 1 (equal to 1), then the monitoring population is judged to be unqualified. 5.11 If the monitored party raises any objection, it can request a re-inspection. The re-inspection sampling plan shall be in accordance with the provisions of GB/T1536. 6is
6 Probability and efficacy of supervision sampling plan GR/T14437
Table 1 Supervision sampling plan ()
Table A1~Table A5 of this standard require the distribution of items. The standard supervision sampling plan has a standard probability of passing. U ranges from 2 to 32, R ranges from 1 to 5. When = (the corresponding supervision sampling plan needs to pass the standard product) value from the table, 1-(> is the efficacy value of the supervision sampling plan when =, and the efficacy value can also be directly found in the appendix. Example: The specified supervision quality level P, = 1.0%, the supervision inspection level is 1From Table 1, we can see that the spot sampling scheme is 7=5, ratio=1. When the production is 1C%, we can check Table 41 and get ():%)-0.5UU, so the efficacy of the detailed supervision scheme is 1-0.590=0.410.
Statistical interpretation of the conclusion of supervision sampling inspection
When the sample size of the blue bone sampling case is small, it is judged to be passed. The supervision population has a large risk of missing judgment: the quality supervision department is not responsible for confirming the qualified individual of the supervision sampling inspection. A1 estimated efficacy 1-β
GB/T 14437
(Appendix of the standard)
Evaluation of the effectiveness of the sampling inspection
Given a certain unqualified overall non-conforming product rate of the monitoring product, calculate the effectiveness of the sampling inspection according to the formula (A1): 1-9
1- 8=1 - 0_2 VR.g. 2 Vk. / 1>-(A-)
User: 1-() represents the quasi-normal distribution, which can be divided by B. If the current determination is =0, according to the formula (A1): 1--1-2/4X6-25-1+150.1]
= 1 - 4(- 1. 2834.)
1 - (1 5. 3997)
42 The method of estimating the response to the target
A2.1 The specific method is: The sample size n and the number of failures R in the corresponding table in A3.3 should be the value of the table value. The corresponding table value is: (15:4) = 15R, 4:30.1 When the value of G.15 in Table A4 is close to 0.179. This value corresponds to the value of 42.2, that is, the value of the response formula: = 2R
= 2(#—R,+1)
bk+-th.t.)
) The degree is the sum of the 1-digit items
For example, +<13, 4) The extraction plan, if the pursuit of fire G.2. Then minus (A2)X 1.32725
2X 4F8.24)
5=24+8×1.52725
21+ na,(8.24)
42.3 Sampling square oxygen's carrying characteristics two numbers table note, each table *, "table order here according to the probability value 4C.999-1>7.= 5. 34 = 34
..tA?)
2. 543 0. 91
5.619 U.878
3.213 .89
5. 9e1 0. 85
5.65h U -813
GB/T 1443/
.a83 0.835 C.732
330826 C,756 18,152.25U-$5C-C16 C-9149-0U46-1550 0.500||tt ||0. 000 0.000
20.000 0.n00
5. 87F 0. R18 C 7:15 0. 603 0. 442 0. 261 0.222 C.C39 C C12 C- 003C.C21 0, 000 5. DC5 0. 000 0. U0U table
. S3SU- 493
0. 999 6.
2.555 0. 999
> 393 0. 99
. 498.
. 97 ,
:). 296 >.||tt| |. u93 ,5
(R2)
0. 977 6.960 0. 96 G-910 . E77 0. 84 3.768 . 7:0718
3.575 n.500
.060 2.3
Table point 3
GB/T1443
Table A2 (End)||tt| |400 (. 155 4. 034
. tot 0. b
000 0. 000 3.3
2.1150.337
232 .159 0.099
. 167 5. 115 0. n55
6940,95.3
GH/T14437—1997wwW.bzxz.Net
End of Table A3)
0. 993 0. 996 0. 99
06170455
0.3130.200 2. 110.0650.033
2.0480.019
9.909 2.202 0.060 c.× 0.000 0.000 2.
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