BS ISO 28591:2017
Current
The latest, up-to-date edition.
Sequential sampling plans for inspection by attributes
Hardcopy , PDF
English
21-11-2017
Foreword
Introduction
1 Scope
2 Normative references
3 Terms and definitions
4 Symbols and abbreviated terms
5 Principles of sequential sampling plans for inspection
by attributes
6 Selection of a sampling plan
7 Operation of a sequential sampling plan
8 Numerical example
9 Tables
Annex A (informative) - Statistical properties of the
sequential sampling plan for inspection by
attributes
Bibliography
Describes sequential sampling plans and procedures for inspection by attributes of discrete items.
Committee |
SS/5
|
DevelopmentNote |
Supersedes BS ISO 8422. (11/2017)
|
DocumentType |
Standard
|
Pages |
50
|
PublisherName |
British Standards Institution
|
Status |
Current
|
Supersedes |
This International Standard specifies sequential sampling plans and procedures for inspection by attributes of discrete items.
The plans are indexed in terms of the producer\'s risk point and the consumer\'s risk point. Therefore, they can be used not only for the purposes of acceptance sampling, but for a more general purpose of the verification of simple statistical hypotheses for proportions.
The purpose of this International Standard is to provide procedures for sequential assessment of inspection results that may be used to induce the supplier, through the economic and psychological pressure of non-acceptance of lots of inferior quality, to supply lots of a quality having a high probability of acceptance. At the same time, the consumer is protected by a prescribed upper limit to the probability of accepting lots of poor quality.
This International Standard provides sampling plans that are applicable, but not limited, to inspection in different fields, such as:
end items,
components and raw materials,
operations,
materials in process,
supplies in storage,
maintenance operations,
data or records, and
administrative procedures.
This International Standard contains sampling plans for inspection by attributes of discrete items. The sampling plans may be used when the extent of nonconformity is expressed either in terms of proportion (or percent) nonconforming items or in terms of nonconformities per item (per 100 items).
The sampling plans are based on the assumption that nonconformities occur randomly and with statistical independence. There may be good reasons to suspect that one nonconformity in an item could be caused by a condition also likely to cause others. If so, it would be better to consider the items just as conforming or not, and ignore multiple nonconformities.
The sampling plans from this International Standard should primarily be used for the analysis of samples taken from processes. For example, they may be used for the acceptance sampling of lots taken from a process that is under statistical control. However, they may also be used for the acceptance sampling of an isolated lot when its size is large, and the expected fraction nonconforming is small (significantly smaller than 10%).
In the case of the acceptance sampling of continuing series of lots, the system of sequential sampling plans indexed by acceptance quality limit (AQL) for lot-by-lot inspection published in ISO2859‑5 should be applied.
Standards | Relationship |
ISO 28591:2017 | Identical |
ISO 3534-2:2006 | Statistics — Vocabulary and symbols — Part 2: Applied statistics |
ISO 8423:2008 | Sequential sampling plans for inspection by variables for percent nonconforming (known standard deviation) |
ISO 2859-5:2005 | Sampling procedures for inspection by attributes — Part 5: System of sequential sampling plans indexed by acceptance quality limit (AQL) for lot-by-lot inspection |
ISO 3534-1:2006 | Statistics — Vocabulary and symbols — Part 1: General statistical terms and terms used in probability |
Access your standards online with a subscription
Features
-
Simple online access to standards, technical information and regulations.
-
Critical updates of standards and customisable alerts and notifications.
-
Multi-user online standards collection: secure, flexible and cost effective.