GB/T 22555-2010 English PDF

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GB/T 22555-2010: Acceptance sampling plans and procedures for the inspection of bulk materials
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Basic data

Standard ID: GB/T 22555-2010 (GB/T22555-2010)
Description (Translated English): Acceptance sampling plans and procedures for the inspection of bulk materials
Sector / Industry: National Standard (Recommended)
Classification of Chinese Standard: A41
Classification of International Standard: 03.120.30
Word Count Estimation: 72,770
Date of Issue: 2010-09-02
Date of Implementation: 2011-04-01
Quoted Standard: GB/T 2828.1-2003; GB/T 3358.1-2009; GB/T 3358.2-2009; GB/T 6379.1-2004; ISO 11648-1-2003
Adopted Standard: ISO 10725-2000, MOD
Regulation (derived from): Announcement of Newly Approved National Standards No. 4 of 2010 (total 159)
Issuing agency(ies): General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China, Standardization Administration of the People's Republic of China
Summary: This standard specifies the acceptance testing procedures used for acceptance of bulk sampling program carried out in detail. These sampling plans are subject to a reasonable fee under the particular operating characteristic curve.

GB/T 22555-2010: Acceptance sampling plans and procedures for the inspection of bulk materials

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Acceptance sampling plans and procedures for the inspection of bulk materials ICS 03.120.30 A41 National Standards of People's Republic of China Bulk sampling procedures and acceptance sampling plan (ISO 10725.2000, MOD) Issued on. 2010-09-02 2011-04-01 implementation Administration of Quality Supervision, Inspection and Quarantine of People's Republic of China Standardization Administration of China released

Table of Contents

Introduction Ⅴ Introduction Ⅵ 1 Scope 1 2 Normative references 1 3 Terms and definitions 4 Symbols and Abbreviations 3 5 5 Sampling Plan 5.1 General 5 5.2 Conditions 5 5.3 standard sampling procedures 6 5.4 standard deviation 7 5.5 Fee7 5.6 acceptance quality limit and do not receive quality limit 8 5.7 responsible authority 9 6. Inspection procedures 10 6.1 General 10 Assessment 6.2 standard deviation 10 6.3 Determination of sample size 15 6.4 Extraction and preparation of the sample 32 Determining the value received 32 6.5 6.6 determination of the batch received 33 6.7 Batch processing is not received 33 7 Example 33 7.1 specification limit and the case has a unilateral standard differential unascertained 33 7.2 Bilateral given specification limit and the standard differential is unascertained circumstances 34 7.3 specification limit for side orders and a standard alternative program known when the difference between the 35 7.4 specification limit for side orders and a standard deviation is known standard procedures 36 cases 7.5 Bilateral given specification limit and the standard deviation is known standard procedures 36 cases 7.6 Adjustment identification section 37 7.7 single batch test 38 7.8 Continuous batch inspection 39 Special Procedures Appendix A (normative) feature a multi-material inspection 41 A.1 General 41 General Procedure 41 A.2 various characteristics test A.3 total risk and special procedures 41 A.4 standard deviation of 42 when a particular program known A.5 standard differential when a specific program unascertained 43 Appendix B (normative) the standard deviation of acceptance sampling plans and procedures dominant when 45 B.1 Introduction 45 B.2 standard deviation 45 B.3 costs 45 B.4 sample size 45 B.5 standard deviation of 47 confirmed B.6 estimate of standard deviation 47 B.7 Example 48 Annex C (informative) Theoretical Background 49 C.1 Introduction 49 C.2 basic assumptions 49 C.3 The simplest model 50 Relationship C.4 mA, mR and received values \u200b\u200bbetween 51 Model C.5 two variance components 54 Model C.6 three variance components 54 C.7 more quality characteristics scenario 55 C.8 standard deviation unascertained circumstances additional information 56 Annex D (informative) operating characteristic curve 57 D.1 Introduction 57 D.2 standard deviation is known circumstances 57 D.3 to convert Pa 57 m D.4 will be converted into m 58 Pa Examples of calculation known OC curve D.5 standard deviation 59 D.6 standard deviation unascertained 62 References 65 Figure 1 illustrates bulk sampling program 6 Figure C.1 mA, mR relationship and receive values \u200b\u200b(x- distribution; in specification limit) 52 C.2 relationship (x- distribution; the specification limit) mA, mR and received values \u200b\u200bof 52 Figure C.3 mA, mR relationship and receive values \u200b\u200b(x- distribution; and bilateral specification limit) 53 Diagram C.4 Δ and D (when Δ = δ × D time) (x- distribution; double-sided specification limit) 53 OC curve 59 Figure D.1 Example 1 Figure D.2 Example of OC curve 602 FIG OC D.3 Example 3, curve 62 Figure 4 curve OC D.4 Example 64 Table 1 sided specification limit values \u200b\u200bof δ-case (standard deviation unascertained) 9 Table 2 fU value of 12 for calculating the UCL Table 3 RC≈0.10 (0 ~ 0.17) expense ratio for the sample level scale of 1 (α≈5%, β≈10%) 17 Table 4 RC≈0.32 (0.18 ~ 0.56) level of expense ratio of 2.00 scale sample (α≈5%, β≈10%) 18 Table 5 RC≈1.0 (0.57 ~ 1.7) expense ratio for the sample level scale of 3.00 (α≈5%, β≈10%) 19 Table 6 RC≈3.2 (1.8 ~ 5.6) expense ratio for the sample level scale of 4.00 (α≈5%, β≈10%) 20 Table 7 RC≈10 (5.7 or greater) level of expense ratio of 5.00 scale sample (α≈5%, β≈10%) 21 Table 8 RC≈0.10 (0 ~ 0.17) expense ratio for the sample level scale of 1 (α≈5%, β≈5%) 22 Table 9 RC≈0.32 (0.18 ~ 0.56) level of expense ratio of 2.00 scale sample (α≈5%, β≈5%) 23 Table 10 RC≈1.0 (0.57 ~ 1.7) expense ratio for the sample level scale of 3.00 (α≈5%, β≈5%) 24 Table 11 RC≈3.2 (1.8 ~ 5.6) expense ratio for the sample level scale of 4.00 (α≈5%, β≈5%) 25 Table 12 RC≈10 (5.7 or greater) expense ratio level samples 5.00 scale (α≈5%, β≈5%) 26 Table 13 nM = 1, RC≈0.10 (0 ~ 0.17) expense ratio sample level 1 (α≈5%, β≈5%) and freedom Table 27 Table 14 nM = 1, RC≈0.32 (0.18 ~ 0.56) expense ratio sample level 2 (α≈5%, β≈5%) and freedom Table 27 Table 15 nM = 1, RC≈1.0 (0.57 ~ 1.7) Expense ratio level sample 3 (α≈5%, β≈5%) and freedom Table 28 Table 16 nM = 1, RC≈3.2 (1.8 ~ 5.6) Expense ratio sample volume level 4 (α≈5%, β≈5%) and freedom Table 28 Table 17 nM = 1, RC≈10 (5.7 or greater) expense ratio sample level 5 (α≈5%, β≈5%) and freedom Table 29 Table 18 nM = 2, RC≈0.10 (0 ~ 0.17) expense ratio sample level 1 (α≈5%, β≈5%) and freedom Table 29 Table 19 nM = 2, RC≈0.32 (0.18 ~ 0.56) expense ratio sample level 2 (α≈5%, β≈5%) and freedom Table 30 Table 20 nM = 2, RC≈1.0 (0.57 ~ 1.7) Expense ratio level sample 3 (α≈5%, β≈5%) and freedom Table 30 Table 21 nM = 2, RC≈3.2 (1.8 ~ 5.6) Expense ratio sample volume level 4 (α≈5%, β≈5%) and freedom Table 31 Table 22 nM = 2, RC≈10 (5.7 or greater) expense ratio sample level 5 (α≈5%, β≈5%) and freedom Table 31 Table 23 single batch of data 38 Table 24 continuous batch data 40 Table A.1 a J standard deviation is known characteristic correction factor fD 42 Table A.2 producers risk and consumer's risk value for each property (as a percentage) 43 Table correction factor fD A.3 standard deviation unascertained characteristic of the J 44 Table B.1 special program sample size (known standard deviation; α≈5%, β≈10%) 46 Table B.2 special program sample size (known standard deviation; α≈5%, β≈5%) 46 Table B.3 special program sample size (standard deviation unascertained; α≈5%, β≈5%) 47 OC curve values \u200b\u200bin Table D.1 Example 1 59 Table D.2 Example 2 60 OC curve values OC curve values \u200b\u200bin Table D.3 of Example 3, the lower side 61 Table D.4 OC curve values \u200b\u200bof Example 3, the upper side 61 OC curve values \u200b\u200b63 Table D.5 Example 4

Foreword

This standard is prepared in accordance with GB/T 1.1-2009 drafting rules. This revised standard adopts ISO 10725.2000 "bulk Acceptance sampling procedures and sampling plan" to ISO 10725.2000, made The following changes and technical amendments. --- Will of a 6.3.2.2), b) the "σM/σT" to "σM/σP"; --- 6.3.6 of the "RC = CTMCI "To" RC = cTMcI "; --- 6.3.6 added expense ratio level selection rules a) ~ e) in the range of RC concrete, practical user-friendly; --- Remove 6.4.7 and 6.4.8, and 6.7 is not received batch processing; --- Adjusted 7.7.2,7.7.3,7.7.4 order of 7.7.3,7.7.4,7.7.2. Application of this standard by the National Standardization Technical Committee on statistical methods and focal points. This standard is mainly drafted by. China National Institute of Standardization, Shenzhen City, measuring Detection Co., Ltd., Beijing University of Technology, Chinese Academy of Sciences Number Science and Systems Science, Liaoning University, Capital University of Economics and Business, Beijing University of Aeronautics and Astronautics. The main drafters of this standard. Dingwen Xing, Zhang Fan, Xie law, Feng Shi Yong, Jiang Jian, YU Zhen Fan, Bai Xiaoming, Yang Jun, Dwelling, Guo Bing, Wang Bin.

Introduction

Since the late 1940s began, application of statistical methods in the field of bulk sampling of increasing year by year, is mainly used for a large number of Sampling of raw materials such as coal, iron ore and so on. The main purpose is to accurately estimate a reasonable cost batch average quality, and so, if necessary To regulate prices and production process in a timely manner. In recent years, especially for the bulk of industrial products, such as plastics and chemical raw materials powder particles of the growing acceptance sampling requirements plus. In this case, to determine the acceptability of the batch is more important than accuracy obtained batch average quality. The standard that is a front for the purpose of Commission. Bulk sampling procedures and acceptance sampling plan

1 Scope

And the use of this standard by determining the bulk acceptance inspection procedure variables, for bulk acceptance sampling program carried out in detail. These sampling plans are subject to certain operating characteristic curve at a reasonable cost. This standard applies to a specific batch of the average single quality characteristics as the main factor of acceptance testing, quality characteristics are also given more time Acceptance testing procedures; this standard can be applied to those at various stages of the standard deviation is known or sampling to ascertain the situation. The present standard can be used for receiving a variety of bulk materials, but materials such as iron ore, coal, crude oil, the average estimate lot quality ratio determination batch More important case, this standard does not fully applicable. When no applicable standard measurement method so that the standard deviation when major proportion of the total standard deviation, as liquid bulk sampling, this Standards elaborated on some of the specific sampling plans and procedures.

2 Normative references

The following documents for the application of this document is essential. For cited documents with dates, only the edition is suitable for this document. For undated references, the latest edition (including any amendments) applies to this document. GB/T 2828.1-2003 Sampling procedures for inspection - Part 1. by acceptance quality limit (AQL) retrieval batch test sample Programme (ISO 2859-1.1999, IDT) GB/T 3358.1-2009 Statistics Vocabulary and symbols - Part 1. General statistical terms and terms used in probability (ISO 3534-1.2006, IDT) GB/T 3358.2-2009 Statistics Vocabulary and symbols - Part 2. Applied Statistics (ISO 3534-2.2006, IDT) GB/T 6379.1-2004 measurement methods and results of Accuracy (trueness and precision) - Part 1. General principles and definitions (ISO 5725-1.1994, IDT) ISO 11648-1.2003 Statistical methods for sampling bulk materials - Part 1. General principles (Statisticalaspectsof samplingfrombulkmaterials-Part 1. Generalprinciples)

3 Terms and Definitions

GB/T 2828.1, GB/T 3358.1, GB/T 3358.2, GB/T 6379.1 defined and the following terms and definitions apply to this file. 3.1 Acceptance sampling acceptancesampling According to the test results of one or more samples extracted from batch to determine whether to accept a batch sampling. 3.2 Acceptance inspection acceptanceinspection Grant or other tests to determine whether a certain number of products that can be received. 3.3 Sampling system samplingsystem Combination of sampling programs and sampling plan for selecting appropriate sampling scheme or sampling plan guidelines. ......

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