BS ISO 3951-2:2013:2018 Edition
$215.11
Sampling procedures for inspection by variables – General specification for single sampling plans indexed by acceptance quality limit (AQL) for lot-by-lot inspection of independent quality characteristics
Published By | Publication Date | Number of Pages |
BSI | 2018 | 100 |
This part of ISO 3951 is primarily designed for use under the following conditions:
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where the inspection procedure is to be applied to a continuing series of lots of discrete products all supplied by one producer using one production process. If there are different producers or production processes, this part of ISO 3951 shall be applied to each one separately;
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where the quality characteristics of the items of product are measurable on a continuous scale;
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where the measurement error is negligible (i.e. with a standard deviation no more than 10 % of the corresponding process standard deviation). However, procedures are also provided in Clause 9 and Annex P for accommodating measurement error when it has a non-negligible standard deviation;
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where production is stable (under statistical control) and the quality characteristics are distributed, at least to a close approximation, according to normal distributions;
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where, in the case of multiple quality characteristics, the characteristics are independent, or almost independent, of one another;
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where a contract or standard defines a lower specification limit, L, an upper specification limit, U, or both on each of the quality characteristics. If there is only one quality characteristic, an item is qualified as conforming if its measured quality characteristic x satisfies the appropriate one of the following inequalities:
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x ≥ L (i.e. the lower specification limit is not violated);
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x ≤ U (i.e. the upper specification limit is not violated);
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x ≥ L and x ≤ U (i.e. neither the lower nor the upper specification limit is violated).
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If there are two or more, say m, quality characteristics, then, designating the lower and upper limits for the ith quality characteristic by Li and Ui respectively, an item of product is qualified as nonconforming if one or more of its m measured quality characteristics, xi, fails to satisfy the appropriate one of the following inequalities:
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xi ≥ Li;
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xi ≤ Ui;
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xi ≥ Li and xi ≤ Ui.
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Inequalities 1), 2), 4), and 5) are called cases with a single specification limit while 3) and 6) are called cases with double specification limits. For double specification limits, a further distinction is made between combined control, separate control, and complex control. If there is only one quality characteristic, then
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combined control is where a single AQL applies to nonconformity beyond both limits,
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separate control is where separate AQLs apply to nonconformity beyond each of the limits, and
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complex control is where one AQL applies to nonconformity beyond the limit that is of greater seriousness and a larger AQL applies to the total nonconformity beyond both limits.
If there are two or more quality characteristics, this generalizes as follows:
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combined control is where nonconformity beyond both limits on a variable belongs to the same class, to which a single AQL applies;
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separate control is where nonconformity beyond the two limits on a variable belongs to separate classes, to each of which a single AQL applies;
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complex control is where nonconformity beyond the limit that is of greater seriousness belongs to one class to which a single AQL applies, and the total nonconformity beyond both limits belongs to another class to which a larger AQL applies.
Note that, in the case of two or more quality characteristics, nonconformity on more than one quality characteristic may belong to the same class.
PDF Catalog
PDF Pages | PDF Title |
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2 | undefined |
8 | Foreword |
10 | Introduction |
13 | 1 Scope |
14 | 2 Normative references 3 Terms and definitions |
18 | 4 Symbols 4.1 Univariate symbols |
20 | 4.2 Multivariate symbols 5 Acceptance quality limit (AQL) 5.1 Concept 5.2 Use 5.3 Specifying AQLs |
21 | 5.4 Preferred AQLs 5.5 Caution 5.6 Limitation 6 Switching rules for normal, tightened, and reduced inspection |
22 | 7 Relation to ISO 2859-1 and ISO 3951-1 7.1 Relation to ISO 2859-1 7.1.1 Similarities to ISO 2859-1 7.1.2 Differences from ISO 2859-1 |
23 | 7.2 Relation to ISO 3951-1 7.2.1 Similarities to ISO 3951-1 7.2.2 Differences from ISO 3951-1 |
24 | 8 Consumer protection 8.1 Use of individual plans 8.2 Consumer’s risk quality (CRQ) tables 8.3 Producer’s risk tables 8.4 Operating characteristic (OC) curves 9 Accommodating measurement variability |
25 | 10 Planning 11 Choice between variables and attributes |
26 | 12 Choice between the s-method and σ-method 13 Choice of inspection level and AQL 14 Choice of sampling scheme 14.1 Standard plans |
27 | 14.2 Special plans 15 Preliminary operations |
28 | 16 Standard procedures for the univariate s-method 16.1 Obtaining a plan, sampling, and preliminary calculations 16.2 Form k acceptability criterion for the s-method |
30 | 16.3 Form p* acceptability criterion for the s-method 16.3.1 Introduction 16.3.2 Combined control for the s-method |
36 | 16.3.3 Separate control for the s-method 16.3.4 Complex control for the s-method 17 Standard multivariate s-method procedures for independent quality characteristics 17.1 General methodology |
37 | 17.2 Example |
39 | 18 Standard univariate σ-method procedures 18.1 Obtaining a plan, sampling, and preliminary calculations 18.2 Acceptability criterion for a single specification limit or for double specification limits with separate control |
40 | 18.3 Acceptability criterion for double specification limits with combined or complex control |
42 | 19 Standard multivariate σ-method procedures for independent quality characteristics 19.1 General methodology |
43 | 19.2 Example |
44 | 20 Standard multivariate combined s-method and σ-method procedures for independent quality characteristics 20.1 General methodology |
45 | 20.2 Example |
47 | 21 Procedure during continuing inspection 22 Normality and outliers 22.1 Normality 22.2 Outliers 23 Records 23.1 Control charts 23.2 Lots that are not accepted |
48 | 24 Operation of switching rules 25 Discontinuation and resumption of inspection |
49 | 26 Switching between the s-method and σ-method 26.1 Estimating the process standard deviation 26.2 State of statistical control 26.3 Switching from the s-method to the σ-method 26.4 Switching from the σ-method to the s-method |
50 | Annex A (normative) Table for determining the sample size code letter |
51 | Annex B (normative) Form k single sampling plans: s-method |
54 | Annex C (normative) Form k single sampling plans: σ-method |
57 | Annex D (normative) Form p* single sampling plans: s-method |
60 | Annex E (normative) Form p* single sampling plans: σ-method |
63 | Annex F (normative) Values of fs for maximum sample standard deviation (MSSD) |
66 | Annex G (normative) Values of fσ for maximum process standard deviation (MPSD) |
69 | Annex H (normative) Estimating the process fraction nonconforming for sample size 3: s-method |
72 | Annex I (normative) Values of cU for upper control limit on the sample standard deviation |
73 | Annex J (normative) Supplementary acceptability constants for qualifying towards reduced inspection |
74 | Annex K (normative) Procedures for obtaining s and σ |
76 | Annex L (normative) Estimating the process fraction nonconforming |
82 | Annex M (informative) Consumer’s risk qualities |
86 | Annex N (informative) Producer’s risks |
90 | Annex O (informative) Operating characteristics for the σ-method |
91 | Annex P (informative) Accommodating measurement variability |
97 | Bibliography |