SIST ISO 2859-4:2021 PDF
Sampling procedures for inspection by attributes - Part 4: Procedures for assessment of declared quality levels
Sampling procedures for inspection by attributes - Part 4: Procedures for assessment of declared quality levels
- Статус документа:
- Действующий
- Формат:
- Электронный (PDF)
- Количество страниц:
- 23
- Дата публикации:
- 6 сентября 2021 г.
- ICS:
- 03.120.30
- Технический комитет:
- ISTM - Statistical methods
This document establishes single sampling plans for conformance testing, i.e., for assessing whether the quality level of a relevant audit population (lot, process, inventory, file etc) conforms to a declared value. Sampling plans are provided corresponding to four levels of discriminatory ability. The limiting quality ratio (LQR) (see Clause 4) of each sampling plan is given for reference. For levels I-III, the sampling plans have been devised so as to obtain a risk no more than 5 % of contradicting a correct declared quality level. The risk of failing to contradict an incorrectly declared quality level which is related to the LQR is no more than 10 %. The sample sizes for level 0 are designed in a way that the LQR factors of the sampling plans are compatible with the LQR factors for level I. In contrast to the procedures in the other parts of the ISO 2859 series, the procedures in this document are not applicable to acceptance assessment of lots. Generally, this document mainly focuses on controlling type I error, which differs from the balancing of the risks in the procedures for acceptance sampling. This document can be used for various forms of quality inspection in situations where objective evidence of conformity to some declared quality level is to be provided by means of inspection of a sample. The procedures are applicable to entities such as lots, process output, etc. that allow random samples of individual items to be taken from the entity. The sampling plans provided in this document are applicable, but not limited, to the inspection of a variety of targets such as: — end items; — components and raw materials; — operations; — materials in process; — supplies in storage; — maintenance operations; — data or records; — administrative procedures; — accounting procedures or accounting entries; — internal control procedures. This document considers two types of quality models for discrete items and populations, as follows. i) The conforming-nonconforming model, where each item is classified as conforming or nonconforming, and where the quality indicator of a population of items is the proportion p of nonconforming items, or, equivalently, the percentage 100 p of nonconforming items. ii) The nonconformities model, where the number of nonconformities is counted on each item, and where the quality indicator of a population of items is the average number λ of nonconformities found on items in the population, or, equivalently, the percentage 100 λ of nonconformities on items in the population.
Abstract
Overview
SIST ISO 2859-4:2021 - "Sampling procedures for inspection by attributes - Part 4: Procedures for assessment of declared quality levels" specifies single sampling plans for conformance testing. It is intended for formal inspections, audits and systematic tests used to assess whether an audit population (lot, process output, inventory, file, etc.) conforms to a declared quality level (DQL). The standard provides sampling plans at four levels of discriminatory ability (LQR levels 0, I, II, III) and defines the limiting quality ratio (LQR) as a reference for the risk of failing to contradict an incorrect declared quality level.
Key technical topics and requirements
- Sampling and decision procedure: Single sampling plans identified by sample size n and non‑rejection number c. Plans are selected from tabulated DQL values (0.01%–10.00%) and an LQR level (0, I, II, III).
- Risk control: For LQR levels I–III the design targets no more than 5% risk of contradicting a correct declared quality level (Type I error). The related risk of failing to contradict an incorrect declared quality level is limited to no more than 10% at the specified LQR.
- Non-rejection number (c): Typical non‑rejection numbers are c = 0 (level 0), c = 1 (level I), c = 2 (level II) and c = 3 (level III), with some exceptions for very small or large DQLs.
- Two quality models:
- Conforming–nonconforming model (proportion p of nonconforming items).
- Nonconformities model (average number λ of nonconformities per item).
- Operational rules: If the declared quality level is not tabulated, the next higher DQL is used to select the plan. Procedures require random sampling and include guidance on drawing samples, decision logic and disposition of nonconforming items.
- Informative annexes and tables: Includes probability curves, discriminatory ability tables and examples (Annex A and B).
Practical applications and users
SIST ISO 2859-4:2021 is suited to situations where objective evidence is needed that an entity conforms to a stated quality level. Typical targets include:
- End items, components and raw materials
- Materials in process and operations
- Supplies in storage and maintenance operations
- Data, records, administrative and accounting procedures
- Internal control procedures and audit populations
Primary users:
- Quality managers and QA/QC teams
- Auditors and compliance officers conducting reviews or regulatory inspections
- Statisticians and process engineers designing conformance tests
- Procurement and contract reviewers needing objective sampling evidence
Note: Unlike ISO 2859‑1 to -3 (acceptance sampling), Part 4 focuses on controlling Type I error for formal assessments rather than balancing bilateral acceptance risks.
Related standards
- ISO 2859 series (Parts 1–3 for acceptance sampling)
- ISO 3534‑1 / ISO 3534‑2 (statistics vocabulary)
- ISO 9000 (quality management fundamentals and vocabulary)
Keywords: SIST ISO 2859-4:2021, sampling procedures, declared quality levels, LQR, DQL, conformance testing, attributes inspection, single sampling plans, audit sampling.
Технические детали
- SKU
- SIST ISO 2859-4:2021
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