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GB/T 43261-2023: Combined accept-zero sampling systems and process control procedures for product acceptance
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Combined accept-zero sampling systems and process control procedures for product acceptance
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GB/T 43261-2023
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Basic data | Standard ID | GB/T 43261-2023 (GB/T43261-2023) | | Description (Translated English) | Combined accept-zero sampling systems and process control procedures for product acceptance | | Sector / Industry | National Standard (Recommended) | | Classification of Chinese Standard | A41 | | Classification of International Standard | 03.120.30 | | Word Count Estimation | 44,423 | | Date of Issue | 2023-11-27 | | Date of Implementation | 2024-06-01 | | Issuing agency(ies) | State Administration for Market Regulation, China National Standardization Administration | GB/T 43261-2023: Combined accept-zero sampling systems and process control procedures for product acceptance
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ICS 03:120:30
CCSA41
National Standards of People's Republic of China
Zero Acceptance Sampling System Compatible with Process Control Procedures
Combined Product Acceptance Program
(ISO 28594:2017,MOD)
Published on 2023-11-27
2024-06-01 Implementation
State Administration for Market Regulation
Released by the National Standardization Administration Committee
Table of contents
Preface III
Introduction V
1 Scope 1
2 Normative references 1
3 Terms, definitions and symbols 1
3:1 Terms and definitions 1
3:2 Symbol 6
4 General requirements 7
4:1 Product requirements 7
4:2 Acceptance according to table 7
4:2:1 Preferred sampling system 7
4:2:2 Composition and identification of inspection lots 7
4:2:3 Determination of sampling plan 7
4:2:4 Sample extraction 7
4:3 Acceptance according to the terms proposed by the supplier 8
4:3:1 General 8
4:3:2 Requirements and procedures 8
4:3:3 Submission and incorporation of alternative acceptance methods 9
4:3:4 Withdrawal of alternative acceptance methods after approval 9
4:4 Key Features 9
4:5 Special provisions for fatal non-conforming products 9
5 Detailed requirements10
5:1 Acceptance according to table 10
5:1:1 Sampling inspection10
5:1:2 Preferred sampling inspection schedule 14
5:2 Acceptance according to the terms proposed by the supplier16
5:2:1 General 16
5:2:2 Quality management system16
5:2:3 Prevention-based quality management system 16
5:2:4 Process-centered quality management system 16
5:2:5 Objective evidence of implementation and effectiveness of the quality management system17
Appendix A (informative) Why is the number of receptions zero? 18
Appendix B (Informative) Disposal of Batch when Customer Rejects 19
Appendix C (Informative) Transfer Rules Diagram 21
Appendix D (normative) Examples of use of sampling system 24
Appendix E (Informative) Summary Table 28
Reference 37
Foreword
This document complies with the provisions of GB/T 1:1-2020 "Standardization Work Guidelines Part 1: Structure and Drafting Rules of Standardization Documents"
Drafting:
This document is modified to adopt ISO 28594:2017 "Product Acceptance Plan Combining Zero Acceptance Number Sampling System and Process Control Procedures":
The technical differences between this document and ISO 28594:2017 and their reasons are as follows:
---Changed the median symbol involved in terms 3:1:9, 3:1:10, 3:1:31, and 3:1:32, changing X to X0:50, consistent with GB/T 3358:2
consistent:
---Deleted the symbol fc representing the correction factor and the symbol Sc representing the corrected sum of squares in 3:2 and the two symbols in Table D:2 and Table D:3
No: row: Modify the sample variance formula in Table D:2 and Table D:3 to ∑(xx)2/(nv-1), because these two symbols
No: is only involved in Table D:2 and Table D:3 of Appendix D: The purpose is to calculate the sample variance: The sample variance can be directly calculated according to the formula
∑(xx)2/(nv-1) is used for calculation: Listing these two symbols separately can easily cause misunderstanding:
---Added the last "See 5:1:2:4:5" explanation in 5:1:2:4:4 "See 5:1:2:4:5 when fatal defective products are found in inspection", original text
Missing bridging instructions:
---Deleted 84:75/3 in the row of sample variance in Table D:2 and Table D:3, because 84:75 is the calculation result of the corrected sum of squares, so
After deleting the line containing the corrected sum of squares, there is no need to list the explanation of the calculation using this value:
---Deleted the rows containing the sum of squares of the measured values in Table D:2 and Table D:3, and calculated the sample variance according to the formula ∑(xx)2/
(nv-1) After calculation, there is no need to calculate the sum of squares of the measured values separately:
---Changed the formula (D:2) in Appendix D to AOQLa=
(na 1)1
na na
Modify to AOQLa=
(na 1)1
na
na
The original expression is prone to ambiguity:
The following editorial changes have been made to this document:
---Added the sources of terms 3:1:20, 3:1:26, 3:1:27, and 3:1:28;
---Deleted the 3:2 symbol F and the redundant symbol F at the end
, the original text is incorrect;
--- Figure C:1 has been changed, changing normal screening to normal inspection, tightening screening to tightening inspection, and relaxing screening to relaxing inspection: The original
The text is wrong;
---Changed the conditions from normal inspection to relaxed inspection in Figure C:1, changing "10 consecutive batches received" to "10 consecutive batches received and
"Satisfies conditions b), c) and d) of 5:1:1:6:4" are consistent with the transfer rule conditions of 5:1:1:6:4 in the main text: The original conditions are not the same:
whole;
---Added the description of the process conditions from strict screening to normal inspection in Figure C:2 of Appendix C "See Figure C:2 (continued)", the original text lacks the clause
File description;
---Changed the conditions from normal sampling inspection to relaxed sampling inspection in Figure C:2 of Appendix C, changing "starting from the last non-conforming product, consecutive qualified products"
"The number reaches 10na (N)" is changed to "Starting from the last non-conforming product, the number of consecutive qualified products reaches 10na (N) and meets 5:1:1:6:4
"Conditions b), c), and d)" are consistent with the transfer rule conditions in 5:1:1:6:4 in the main text, and the original conditions are incomplete;
---Changed the two repeated modules in Figure C:2 of Appendix C and merged them to make the flow chart more concise and clear;
---Changed the symbol p after the percentage of unqualified products in Table E:1 and Table E:2 to 100p: The original text was incorrect:
Please note that some content in this document may be subject to patents: The publisher of this document assumes no responsibility for identifying patents:
This document is proposed and coordinated by the National Technical Committee on Standardization of Application of Statistical Methods (SAC/TC21):
This document was drafted by: China Institute of Standardization, Liaoning Provincial Market Supervision Administration, Shanxi Dean Medical Laboratory Center Co:, Ltd:, Zhengzhou
State University, Capital University of Economics and Business, Yifeng New Materials Co:, Ltd:, Beijing Keris Technology Development Co:, Ltd:, Beijing Gaode Jewelry Appraisal
Ding Research Institute Co:, Ltd:, Perfect (Guangdong) Daily Necessities Co:, Ltd:, Dushang Precision Machinery (Jiaxing) Co:, Ltd:, Liaocheng Zhuoqun Auto Parts Co:, Ltd:
company:
The main drafters of this document: Zhao Jing, Liu Gang, Zhang Fan, Zhang Xuan, Ding Wenxing, Hu Yuping, Shi Gongming, Yu Zhenfan, Wang Jue, Liu Yanping, Zhang Xiangrong,
Jia Xiujuan, Ding Wenjie, Liu Xiaoxiu, Cai Hu, Gao Weixing, Wang Zhijun, Shi Liya, Huang Ruijuan, Yang Zhengshan, Shao Qiang, Wu Lun:
Introduction
Modern quality management practices encourage industrial innovation and provide the possibility to obtain benefits from continuous improvement: With the industrial product quality management
With the continuous development of the concept, people realize that it is necessary to change the existing quality policy and give suppliers certain incentives to improve product quality and promote
A mutually beneficial partnership between suppliers and customers:
The rational application of process control and statistical control methods is an effective way to prevent the occurrence of non-conformities, conduct quality control and provide information for system improvement:
effective means: An effective process control system can also provide information used to evaluate the quality of inspection batches: This document encourages suppliers to implement within their internal controls
Use process control and statistical control procedures in the process, and submit effective process control documents to the customer: After obtaining the customer's consent, the supplier can reduce
Reduce or even eliminate sampling inspection procedures:
Using sampling inspection itself to prove product compliance is a less efficient industrial method: Sampling inspection is used for acceptance
There are risks for both users and producers: Increasing the number of random inspections is a way to reduce risks, but this will also increase costs: Suppliers can pass appropriate
process controls to reduce risks: By applying process control methods to a certain extent, and these methods are appropriate and effective, we can control
risk, thereby reducing inspection and testing:
This document supports the transition from a (reasonable) inspection strategy based on AQL (Acceptance Quality Limit) to the implementation of an effective prevention-based strategy:
strategy, which includes a comprehensive quality system, continuous improvement and collaboration: The underlying idea of this strategy is cooperation between customers and suppliers, which
Both parties need to have the necessary capabilities to bring obvious mutual benefits to both parties through the process of continuously providing high-quality products or services:
The purpose is to create an atmosphere in which each nonconformity is viewed as an opportunity for corrective action and improvement, rather than just
AQL is the goal that the contract strives to achieve:
This document is based on:
a) The supplier should submit products that meet the requirements and provide effective evidence of producing and maintaining continuous production of qualified products;
b) The supplier is responsible for producing products that meet the requirements through manufacturing and process control;
c) Suppliers should adopt effective preventive measures, such as statistical process control:
The ideal goal of this document is to enable product to be accepted as a result of process control procedures: This document also provides a set of zero acceptance number sampling
System (see Appendix A) used to plan and implement the assessment of product quality and its compliance with specified requirements: This acceptance sampling system can be used as a
Verification of the effectiveness of process controls, or as an interim measure while those controls are currently being developed and implemented:
When using acceptance sampling according to the table in this document, the supplier may choose to use any of the following three sampling systems for inspection:
Inspection: batch-by-batch metering sampling, batch-by-batch counting sampling, and counting continuous sampling: These sampling systems also provide transfer rules that allow sampling to occur during normal,
Adjust between tightening and relaxing:
Some organizational policies state not to use sampling plans retrieved by AQL: This document complies with that policy:
Zero Acceptance Sampling System Compatible with Process Control Procedures
Combined Product Acceptance Program
1 Scope
This document provides a zero-acceptance sampling system and procedures for planning and implementing inspections of product quality and compliance with specified requirements:
assessment:
In addition, this document also specifies the requirements to be met when alternative acceptance methods are proposed by the supplier: Alternative acceptance methods are based on establishing and
Implement an internal prevention-based quality management system to ensure that all products comply with requirements set forth in contracts, relevant specifications and standards:
When this document is quoted in a contract, it applies to suppliers, including contractors or distributors: The quality plan will be implemented in accordance with the contract documents
OK, when the requirements of this document are met, the product can be submitted to the user for acceptance:
The sampling system and procedures in this document apply to the following inspections:
a) Final product;
b) Parts or raw materials;
c) operations or services;
d) Work in progress;
e) Inventory items;
f) Maintenance operations;
g) data or records;
h) Management procedures:
Note: When the term "product" is used in this document, it also refers to services and other deliverables:
The sampling systems and procedures in this document are not suitable for use in situations where destructive testing or product screening testing is not feasible or desirable: In these
In this case, the sampling system used is determined by the contract or product specification:
2 Normative reference documents
The contents of the following documents constitute essential provisions of this document through normative references in the text: Among them, the dated quotations
For undated referenced documents, only the version corresponding to that date applies to this document; for undated referenced documents, the latest version (including all amendments) applies to
this document:
GB/T 3358:1-2009 Statistical vocabulary and symbols Part 1: General statistical terms and terms used in probability (ISO 3534-
1:2006,IDT)
GB/T 3358:2-2009 Statistical vocabulary and symbols Part 2: Applied statistics (ISO 3534-2:2006, IDT)
GB/T 19000-2016 Quality management system basics and terminology (ISO 9000:2015, IDT)
3 Terms, definitions and symbols
3:1 Terms and definitions
The terms and definitions defined in GB/T 19000-2016, GB/T 3358:1-2009, GB/T 3358:2-2009 and the following apply to
this document:
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