03.120.30 统计方法的应用 标准查询与下载

KS Q ISO 7870-9-2023 控制图.第9部分:固定过程的控制图

Control charts — Part 9: Control charts for stationary processes

ISO/TR 22514-9:2023 过程管理中的统计方法 能力和性能 第9部分：几何规范定义的特征的过程能力统计

Statistical methods in process management — Capability and performance — Part 9: Process capability statistics for characteristics defined by geometrical specifications

ISO/DTR 11462-5:2023 统计过程控制（SPC）实施指南 第 5 部分：SPC 软件的质量数据交换格式

Guidelines for implementation of statistical process control (SPC) — Part 5: Quality data exchange format for SPC software

ISO/FDIS 3951-6:2023 变量检验的抽样程序第6部分：按极限质量（LQ）索引的孤立批次检验的单次抽样计划规范

Sampling procedures for inspection by variables — Part 6: Specification for single sampling plans for isolated lot inspection indexed by limiting quality (LQ)

23/30471689 DC BS ISO 22514-7 AMD 1. 流程管理中的统计方法 能力和性能 第 7 部分：测量过程的能力

BS ISO 22514-7 AMD 1. Statistical methods in process management. Capability and performance - Part 7. Capability of measurement processes

ASTM E2709-19(2023) 证明符合验收程序的能力的标准实施规程

1.1 This practice provides a general methodology for evaluating single-stage or multiple-stage acceptance procedures which involve a quality characteristic measured on a numerical scale. This methodology computes, at a prescribed confidence level, a lower bound on the probability of passing an acceptance procedure, using estimates of the parameters of the distribution of test results from a sampled population. 1.2 For a prescribed lower probability bound, the methodology can also generate an acceptance limit table, which defines a set of test method outcomes (for example, sample averages and standard deviations) that would pass the acceptance procedure at a prescribed confidence level. 1.3 This approach may be used for demonstrating compliance with in-process, validation, or lot-release specifications. 1.4 The system of units for this practice is not specified. 1.5 This standard does not purport to address all of the safety concerns, if any, associated with its use. It is the responsibility of the user of this standard to establish appropriate safety, health, and environmental practices and determine the applicability of regulatory limitations prior to use. 1.6 This international standard was developed in accordance with internationally recognized principles on standardization established in the Decision on Principles for the Development of International Standards, Guides and Recommendations issued by the World Trade Organization Technical Barriers to Trade (TBT) Committee.

Standard Practice for Demonstrating Capability to Comply with an Acceptance Procedure

BS ISO 7870-2:2023 控制图 Shewhart 控制图

1   Scope This document establishes a guide to the use and understanding of Shewhart control chart approach to the methods for statistical control of a process. This document is limited to the treatment of statistical process control methods using only Shewhart system of charts. Some supplementary material that is consistent with Shewhart approach, such as the use of warning limits, analysis of trend patterns and process capability is briefly introduced. However, there are several other types of control charts which can be used in different situations.

Control charts - Shewhart control charts

ISO 7870-2:2023 控制图.第2部分:休哈特(Shewhart)控制图

This document establishes a guide to the use and understanding of Shewhart control chart approach to the methods for statistical control of a process. This document is limited to the treatment of statistical process control methods using only Shewhart system of charts. Some supplementary material that is consistent with Shewhart approach, such as the use of warning limits, analysis of trend patterns and process capability is briefly introduced. However, there are several other types of control charts which can be used in different situations.

Control charts — Part 2: Shewhart control charts

GSO ISO 10017:2023 质量管理 ISO 9001:2015 统计技术指南

This document gives guidelines for the selection of appropriate statistical techniques that can be useful to an organization, irrespective of size or complexity, in developing, implementing, maintaining and improving a quality management system in conformity with ISO 9001:2015. This document does not provide guidance on how to use the statistical techniques.

Quality management — Guidance on statistical techniques for ISO 9001:2015

DB63/T 2115-2023 检验检测机构仪器设备维护保养指南

Guidelines for Maintenance of Instruments and Equipment of Inspection and Testing Institutions

23/30458815 DC BS ISO 7870-6 控制图 第 6 部分 过程平均值的 EWMA 控制图

BS ISO 7870-6. Control charts - Part 6. EWMA control charts for the process mean

BS ISO 16355-7:2023 统计和相关方法在新技术和产品开发过程中的应用 开发数字化产品和服务的指南 QFD 方法的一般原则和观点

1   Scope The current ISO 16355 series is written intentionally independent of industry because the principles of applying statistical methods for product and technology development are similar for all types of products. However, when applying the standard for the development of fully or partially digitized products in practice, specific characteristics of digital goods in product development (such as measurability, immateriality, economies of scale effects, etc.) are taken into account. This document gives guidelines for adapting the quality function deployment ( QFD ) process, its purpose, users, and tools as they are described in the ISO 16355 series that consider these specific characteristics for developing digitalized products and services . Table 1 illustrates the scope of this document by stating examples of the types of products the standard focuses on. Users of this document include all organization functions necessary to assure customer satisfaction, including business planning, marketing, sales, research and development (R&D), engineering, information technology (IT), manufacturing, procurement, quality, production, service, packaging and logistics, support, testing, regulatory, and other phases in hardware, software, service, and system organizations.

Applications of statistical and related methods to new technology and product development process - Guidelines for developing digitalized products and services. General principles and perspectives of the QFD method

ISO 16355-7:2023 统计和相关方法在新技术和产品开发过程中的应用.第7部分:开发数字化产品和服务的指南.QFD方法的一般原则和观点

The current ISO 16355 series is written intentionally independent of industry because the principles of applying statistical methods for product and technology development are similar for all types of products. However, when applying the standard for the development of fully or partially digitized products in practice, specific characteristics of digital goods in product development (such as measurability, immateriality, economies of scale effects, etc.) are taken into account. This document gives guidelines for adapting the quality function deployment (QFD) process, its purpose, users, and tools as they are described in the ISO 16355 series that consider these specific characteristics for developing digitalized products and services. Table 1 illustrates the scope of this document by stating examples of the types of products the standard focuses on. Users of this document include all organization functions necessary to assure customer satisfaction, including business planning, marketing, sales, research and development (R&D), engineering, information technology (IT), manufacturing, procurement, quality, production, service, packaging and logistics, support, testing, regulatory, and other phases in hardware, software, service, and system organizations.

Applications of statistical and related methods to new technology and product development process — Part 7: Guidelines for developing digitalized products and services — General principles and perspec

ASTM E1994-09(2023) 面向过程的AOQL和LTPD抽样计划的使用标准实施规程

1.1 This practice is primarily a statement of principals for the guidance of ASTM technical committees and others in the use of average outgoing quality limit, AOQL, and lot tolerance percent defective, LTPD, sampling plans for determining acceptable of lots of product. 1.2 This international standard was developed in accordance with internationally recognized principles on standardization established in the Decision on Principles for the Development of International Standards, Guides and Recommendations issued by the World Trade Organization Technical Barriers to Trade (TBT) Committee.

Standard Practice for Use of Process Oriented AOQL and LTPD Sampling Plans

ASTM E2334-09(2023) 当样品中有零响应时 使用属性数据设置不符合项的分数或数量或不符合项发生率的置信上限的标准实施规程

1.1 This practice presents methodology for the setting of an upper confidence bound regarding a unknown fraction or quantity non-conforming, or a rate of occurrence for nonconformities, in cases where the method of attributes is used and there is a zero response in a sample. Three cases are considered. 1.1.1 The sample is selected from a process or a very large population of discrete items, and the number of nonconforming items in the sample is zero. 1.1.2 A sample of items is selected at random from a finite lot of discrete items, and the number of non-conforming items in the sample is zero. 1.1.3 The sample is a portion of a continuum (time, space, volume, area, etc.) and the number of non-conformities in the sample is zero. 1.2 Allowance is made for misclassification error in this practice, but only when misclassification rates are well understood or known and can be approximated numerically. 1.3 The values stated in inch-pound units are to be regarded as standard. No other units of measurement are included in this standard. 1.4 This standard does not purport to address all of the safety concerns, if any, associated with its use. It is the responsibility of the user of this standard to establish appropriate safety, health, and environmental practices and determine the applicability of regulatory limitations prior to use. 1.5 This international standard was developed in accordance with internationally recognized principles on standardization established in the Decision on Principles for the Development of International Standards, Guides and Recommendations issued by the World Trade Organization Technical Barriers to Trade (TBT) Committee.

Standard Practice for Setting an Upper Confidence Bound for a Fraction or Number of Non-Conforming items, or a Rate of Occurrence for Non-Conformities, Using Attribute Data, When There is a Zero Respo

ASTM E1970-23 热分析数据统计处理的标准实施规程

1.1 This practice details the statistical data treatment used in some thermal analysis methods. 1.2 The method describes the commonly encountered statistical tools of the mean, standard derivation, relative standard deviation, pooled standard deviation, pooled relative standard deviation, the best fit to a (linear regression of a) straight line (or plane), and propagation of uncertainties for all calculations encountered in thermal analysis methods (see Practice E2586). 1.3 Some thermal analysis methods derive the analytical value from the slope or intercept of a linear regression straight line (or plane) assigned to three or more sets of data pairs. Such methods may require an estimation of the precision in the determined slope or intercept. The determination of this precision is not a common statistical tool. This practice details the process for obtaining such information about precision. 1.4 This standard does not purport to address all of the safety concerns, if any, associated with its use. It is the responsibility of the user of this standard to establish appropriate safety, health, and environmental practices and determine the applicability of regulatory limitations prior to use. 1.5 This international standard was developed in accordance with internationally recognized principles on standardization established in the Decision on Principles for the Development of International Standards, Guides and Recommendations issued by the World Trade Organization Technical Barriers to Trade (TBT) Committee.

Standard Practice for Statistical Treatment of Thermoanalytical Data

DB4404/T 34-2022 中小企业卓越绩效管理实施指南

本文件适用于追求卓越的各类中小企业，为组织自我评价和质量奖评价提供支持，并为中小企业自主开展卓越绩效管理提供实施指南。

Implementation guide for excellent performance management of small and medium-sized enterprises

KS Q ISO 7870-4:2022 控制图.第4部分:累积和图

Control charts — Part 4: Cumulative sum charts

KS Q ISO 16355-1-2022 统计和相关方法在新技术和产品开发过程中的应用.第1部分:质量功能部署（QFD）的一般原则和观点

Application of statistical and related methods to new technology and product development process — Part 1: General principles and perspectives of quality function deployment (QFD)

KS Q ISO 22514-3:2022 过程管理中的统计方法.能力和性能.第3部分:离散零件测量数据的机器性能研究

Statistical methods in process management — Capability and performance — Part 3: Machine performance studies for measured data on discrete parts