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Delivery: <= 3 days. True-PDF full-copy in English will be manually translated and delivered via email. GB/T 19027-2025: Quality management - Guidance on statistical techniques for GB/T 19001-2016 Status: Valid GB/T 19027: Historical versions
Basic dataStandard ID: GB/T 19027-2025 (GB/T19027-2025)Description (Translated English): Quality management - Guidance on statistical techniques for GB/T 19001-2016 Sector / Industry: National Standard (Recommended) Classification of Chinese Standard: A00 Classification of International Standard: 03.120.10 Word Count Estimation: 31,326 Date of Issue: 2025-05-30 Date of Implementation: 2025-05-30 Older Standard (superseded by this standard): GB/Z 19027-2005 Issuing agency(ies): State Administration for Market Regulation, China National Standardization Administration GB/T 19027-2025: Quality management - Guidance on statistical techniques for GB/T 19001-2016---This is a DRAFT version for illustration, not a final translation. Full copy of true-PDF in English version (including equations, symbols, images, flow-chart, tables, and figures etc.) will be manually/carefully translated upon your order.National Standard of the People's Republic of China ICS 03.120.10CCS A 00 Statistics of Quality Management GB/T 19001-2016 Technical Guide Quality management- Guidance on statistical techniques for GB/T 19001-2016 (ISO 10017.2021, IDT) 2025-05-30 Release 2025-05-30 Implementation State Administration for Market Regulation The National Standardization Administration issued Replace GB /Z 19027-2005 Table of contentsPreface Ⅲ Introduction Ⅳ 1 Scope...1 2 Normative references ...1 3 Terms and Definitions 1 4 Statistical techniques in the implementation of GB/T 19001 ...1 5 Quantitative data and related statistical techniques in GB/T 19001-2016 ...2 6 Applicability of the selected statistical techniques 8 7 Statistical Technical Notes 8 7.1 Descriptive Statistics 8 7.1.1 General description 8 7.1.2 Benefits 10 7.1.3 Limitations and Precautions 10 7.1.4 Application Examples 11 7.2 Experimental Design 11 7.2.1 General description 11 7.2.2 Benefits 11 7.2.3 Limitations and Precautions 11 7.2.4 Application Examples 12 7.3 Hypothesis Testing 12 7.3.1 General description 12 7.3.2 Benefits 12 7.3.3 Limitations and Precautions 12 7.3.4 Application Examples 12 7.4 Measurement System Analysis 13 7.4.1 General description 13 7.4.2 Benefits 13 7.4.3 Limitations and Precautions 13 7.4.4 Application Examples 13 7.5 Process Capability Analysis ...14 7.5.1 General description 14 7.5.2 Benefits 14 7.5.3 Limitations and Precautions 14 7.5.4 Application Examples 15 7.6 Regression Analysis 15 7.6.1 General description 15 7.6.2 Benefits 16 7.6.3 Limitations and Precautions 16 7.6.4 Application Examples 16 7.7 Reliability Analysis ...16 7.7.1 General description 16 7.7.2 Benefits 17 7.7.3 Limitations and Precautions 17 7.7.4 Application Examples 17 7.8 Sampling 18 7.8.1 General description 18 7.8.2 Benefits 18 7.8.3 Limitations and Precautions 18 7.8.4 Application Examples 18 7.9 Simulation 19 7.9.1 General description 19 7.9.2 Benefits 19 7.9.3 Limitations and Precautions 19 7.9.4 Application Examples 19 7.10 Statistical Process Control 19 7.10.1 General description 19 7.10.2 Benefits 20 7.10.3 Limitations and Precautions 20 7.10.4 Application Examples 21 7.11 Statistical Tolerance Method 21 7.11.1 General description 21 7.11.2 Benefits 21 7.11.3 Limitations and Precautions 21 7.11.4 Application Examples 22 7.12 Time Series Analysis 22 7.12.1 General description 22 7.12.2 Benefits 23 7.12.3 Limitations and Precautions 23 7.12.4 Application Examples 23 References ...24ForewordThis document is in accordance with the provisions of GB/T 1.1-2020 "Guidelines for standardization work Part 1.Structure and drafting rules for standardization documents" Drafting is required. This document replaces GB /Z 19027-2005 "Statistical Technical Guidelines for GB/T 19001-2000" and is consistent with GB /Z 19027-2005. In addition to structural adjustments and editorial changes, the main technical changes are as follows. --The scope of application of the standard has been changed (see Chapter 1, Chapter 1 of the.2005 edition); --Added terms and definitions (see Chapter 3); --Changed the quantitative data that may be involved in the activities related to each clause of GB/T 19001-2016 (see Table 1,.2005 Table 1); -- Changed the applicability of selected statistical techniques (see Chapter 6, Chapter 4 of the.2005 edition); --Changed the relevant technical requirements for each statistical technique (see Chapter 7, Chapter 4 of the.2005 edition). This document is equivalent to ISO 10017.2021 "Guidelines for statistical techniques for quality management ISO 9001.2015". Please note that some of the contents of this document may involve patents. The issuing organization of this document does not assume the responsibility for identifying patents. This document is proposed and coordinated by the National Technical Committee for Standardization of Quality Management and Quality Assurance (SAC/TC 151). This document was drafted by. China National Institute of Standardization, Shanghai Quality Association, Beijing New Building Materials Co., Ltd., Hisense Group Control Co., Ltd., Weichai Power Co., Ltd., Yangtze River Pharmaceutical Group Co., Ltd., Shandong Jingyanggang Brewery Co., Ltd., Huaxia Certification Center Co., Ltd., Beijing Junyou Integrity Testing and Certification Co., Ltd., Zhongxinhai (Tianjin) Certification Service Co., Ltd., Dian Neng (Beijing) Certification Center Co., Ltd., China United Certification Center (Beijing) Co., Ltd., Jiangxi Quality and Standardization Research Institute, Cloud Account Technology (Tianjin) Ltd. The main drafters of this document are. Duan Qi, Liu Zhonghua, Gao Feng, Guo Jianjun, Zhao Chuanxin, Shi Erkui, Ji Runjing, Yin Hong, Yu Ji'an, Yin Huiqiong, Zhou Yuqing, Cong Dezheng, Zhou Xueli, Yang Hui, Kang Guocun, Zhang Jingshu. The previous versions of this document and the documents it replaces are as follows. --First published as GB /Z 19027-2001 in.2001 and first revised in.2005; --This is the second revision.IntroductionIt is well known that there is inherent variability in the execution and results of all processes and activities, even in apparently stable conditions. Variation can be observed throughout the product life cycle, in quantifiable characteristics of the process, and in the final products and services. Statistical techniques help measure, describe, analyze, explain, and model variation (whether dealing with relatively limited or large data sets). Statistical analysis of the data can provide a better understanding of the nature, extent, and causes of variation, thereby helping to address or even prevent the adverse events that may result from these variations. problems that could arise and reduce the risks that could be caused by these variations. Analyzing data using statistical techniques can aid in making decisions, thereby helping to improve the performance of the process and the final output. Data for use in a wide range of industries, with potentially beneficial outcomes. The final decision on the criteria for determining the need for statistical techniques and whether the statistical techniques selected are appropriate lies with the organization. This document is intended to help organizations identify statistical techniques based on the elements of a quality management system as defined in GB/T 19001-2016. These statistical techniques can produce certain gains in quality, productivity and costs. This document can also be used to support other management systems (such as environmental management systems, occupational health and safety management systems) and their supporting standards. Statistics of Quality Management GB/T 19001-2016 Technical Guide1 ScopeThis document provides guidance on the selection of appropriate statistical techniques, regardless of the size or complexity of the organization. It is useful to implement, maintain and improve a quality management system that meets the requirements of GB/T 19001-2016. This document does not provide guidance on how to use these statistical techniques.2 Normative referencesThe contents of the following documents constitute the essential clauses of this document through normative references in this document. For referenced documents without a date, only the version corresponding to that date applies to this document; for referenced documents without a date, the latest version (including all amendments) applies to This document. GB/T 19000-2016 Quality Management System Fundamentals and Vocabulary (ISO 9000..2015, IDT) ISO 3534-1 Statistical vocabulary and symbols Part 1.General statistical terms and terms used in probability (Statistics-Volu cabulary and symbols-Part 1.General statistical terms and terms used in probability） ISO 3534-2 Statistics - Vocabulary and symbols - Part 2.Applied statistics Part 2.Applied statistics） ISO 3534-3 Statistics - Vocabulary and symbols - Part 3.Experimental design Part 3.Design of experiments） ISO 3534-4 Statistics - Vocabulary and symbols - Part 4.Survey sampling Part 4.Survey sampling）3 Terms and definitionsGB/T 19000-2016, ISO 3534-1, ISO 3534-2, ISO 3534-3, ISO 3534-4 and the following terms and definitions The meanings apply to this document. 3.1 Statistical technique Statistical method Methods of analyzing quantitative data related to the variation in the products, processes, services, and phenomena being studied to provide information about the subject of study information. Note. Statistical techniques are also applicable to qualitative (non-numeric) data if they can be converted to quantitative (numeric) data. 4 Statistical techniques in the implementation of GB/T 19001 Statistical techniques help to evaluate, control, and improve processes and their outputs, as well as to evaluate and improve the effectiveness of the quality management system. Statistical techniques or series of statistical techniques that have been widely used and have been beneficially applied in the implementation of GB/T 19001 include. --descriptive statistics (see 7.1); ......Tips & Frequently Asked Questions:Question 1: How long will the true-PDF of GB/T 19027-2025_English be delivered?Answer: Upon your order, we will start to translate GB/T 19027-2025_English as soon as possible, and keep you informed of the progress. The lead time is typically 1 ~ 3 working days. 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Otherwise, follow the normal steps: Add to Cart -- Checkout -- Select your currency to pay.Question 5: Should I purchase the latest version GB/T 19027-2025?Answer: Yes. Unless special scenarios such as technical constraints or academic study, you should always prioritize to purchase the latest version GB/T 19027-2025 even if the enforcement date is in future. Complying with the latest version means that, by default, it also complies with all the earlier versions, technically. |
